Immune cell profiles and predictive modeling in osteoporotic vertebral fractures using XGBoost machine learning algorithms
Background Osteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life. These fractures, often undiagnosed, can lead to severe health consequences and are influenced by bone mineral density and abnormal loads. Manage...
Saved in:
| Published in: | BioData mining Vol. 18; no. 1; pp. 13 - 20 |
|---|---|
| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
BioMed Central
04.02.2025
BioMed Central Ltd Springer Nature B.V BMC |
| Subjects: | |
| ISSN: | 1756-0381, 1756-0381 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Background
Osteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life. These fractures, often undiagnosed, can lead to severe health consequences and are influenced by bone mineral density and abnormal loads. Management strategies range from non-surgical interventions to surgical treatments. Moreover, the interaction between immune cells and bone cells plays a crucial role in bone repair processes, highlighting the importance of osteoimmunology in understanding and treating bone pathologies.
Methods
This study aims to investigate the xCell signature-based immune cell profiles in osteoporotic patients with and without vertebral fractures, utilizing advanced predictive modeling through the XGBoost algorithm.
Results
Our findings reveal an increased presence of CD4 + naïve T cells and central memory T cells in VF patients, indicating distinct adaptive immune responses. The XGBoost model identified Th1 cells, CD4 memory T cells, and hematopoietic stem cells as key predictors of VF. Notably, VF patients exhibited a reduction in Th1 cells and an enrichment of Th17 cells, which promote osteoclastogenesis and bone resorption. Gene expression analysis further highlighted an upregulation of osteoclast-related genes and a downregulation of osteoblast-related genes in VF patients, emphasizing the disrupted balance between bone formation and resorption. These findings underscore the critical role of immune cells in the pathogenesis of osteoporotic fractures and highlight the potential of XGBoost in identifying key biomarkers and therapeutic targets for mitigating fracture risk in osteoporotic patients. |
|---|---|
| AbstractList | Osteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life. These fractures, often undiagnosed, can lead to severe health consequences and are influenced by bone mineral density and abnormal loads. Management strategies range from non-surgical interventions to surgical treatments. Moreover, the interaction between immune cells and bone cells plays a crucial role in bone repair processes, highlighting the importance of osteoimmunology in understanding and treating bone pathologies. This study aims to investigate the xCell signature-based immune cell profiles in osteoporotic patients with and without vertebral fractures, utilizing advanced predictive modeling through the XGBoost algorithm. Our findings reveal an increased presence of CD4 + naïve T cells and central memory T cells in VF patients, indicating distinct adaptive immune responses. The XGBoost model identified Th1 cells, CD4 memory T cells, and hematopoietic stem cells as key predictors of VF. Notably, VF patients exhibited a reduction in Th1 cells and an enrichment of Th17 cells, which promote osteoclastogenesis and bone resorption. Gene expression analysis further highlighted an upregulation of osteoclast-related genes and a downregulation of osteoblast-related genes in VF patients, emphasizing the disrupted balance between bone formation and resorption. These findings underscore the critical role of immune cells in the pathogenesis of osteoporotic fractures and highlight the potential of XGBoost in identifying key biomarkers and therapeutic targets for mitigating fracture risk in osteoporotic patients. BackgroundOsteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life. These fractures, often undiagnosed, can lead to severe health consequences and are influenced by bone mineral density and abnormal loads. Management strategies range from non-surgical interventions to surgical treatments. Moreover, the interaction between immune cells and bone cells plays a crucial role in bone repair processes, highlighting the importance of osteoimmunology in understanding and treating bone pathologies.MethodsThis study aims to investigate the xCell signature-based immune cell profiles in osteoporotic patients with and without vertebral fractures, utilizing advanced predictive modeling through the XGBoost algorithm.ResultsOur findings reveal an increased presence of CD4 + naïve T cells and central memory T cells in VF patients, indicating distinct adaptive immune responses. The XGBoost model identified Th1 cells, CD4 memory T cells, and hematopoietic stem cells as key predictors of VF. Notably, VF patients exhibited a reduction in Th1 cells and an enrichment of Th17 cells, which promote osteoclastogenesis and bone resorption. Gene expression analysis further highlighted an upregulation of osteoclast-related genes and a downregulation of osteoblast-related genes in VF patients, emphasizing the disrupted balance between bone formation and resorption. These findings underscore the critical role of immune cells in the pathogenesis of osteoporotic fractures and highlight the potential of XGBoost in identifying key biomarkers and therapeutic targets for mitigating fracture risk in osteoporotic patients. Background Osteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life. These fractures, often undiagnosed, can lead to severe health consequences and are influenced by bone mineral density and abnormal loads. Management strategies range from non-surgical interventions to surgical treatments. Moreover, the interaction between immune cells and bone cells plays a crucial role in bone repair processes, highlighting the importance of osteoimmunology in understanding and treating bone pathologies. Methods This study aims to investigate the xCell signature-based immune cell profiles in osteoporotic patients with and without vertebral fractures, utilizing advanced predictive modeling through the XGBoost algorithm. Results Our findings reveal an increased presence of CD4 + naïve T cells and central memory T cells in VF patients, indicating distinct adaptive immune responses. The XGBoost model identified Th1 cells, CD4 memory T cells, and hematopoietic stem cells as key predictors of VF. Notably, VF patients exhibited a reduction in Th1 cells and an enrichment of Th17 cells, which promote osteoclastogenesis and bone resorption. Gene expression analysis further highlighted an upregulation of osteoclast-related genes and a downregulation of osteoblast-related genes in VF patients, emphasizing the disrupted balance between bone formation and resorption. These findings underscore the critical role of immune cells in the pathogenesis of osteoporotic fractures and highlight the potential of XGBoost in identifying key biomarkers and therapeutic targets for mitigating fracture risk in osteoporotic patients. Keywords: Osteoporosis, Vertebral fractures, XGBoost, Th17 cell differentiation Osteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life. These fractures, often undiagnosed, can lead to severe health consequences and are influenced by bone mineral density and abnormal loads. Management strategies range from non-surgical interventions to surgical treatments. Moreover, the interaction between immune cells and bone cells plays a crucial role in bone repair processes, highlighting the importance of osteoimmunology in understanding and treating bone pathologies. This study aims to investigate the xCell signature-based immune cell profiles in osteoporotic patients with and without vertebral fractures, utilizing advanced predictive modeling through the XGBoost algorithm. Our findings reveal an increased presence of CD4 + naïve T cells and central memory T cells in VF patients, indicating distinct adaptive immune responses. The XGBoost model identified Th1 cells, CD4 memory T cells, and hematopoietic stem cells as key predictors of VF. Notably, VF patients exhibited a reduction in Th1 cells and an enrichment of Th17 cells, which promote osteoclastogenesis and bone resorption. Gene expression analysis further highlighted an upregulation of osteoclast-related genes and a downregulation of osteoblast-related genes in VF patients, emphasizing the disrupted balance between bone formation and resorption. These findings underscore the critical role of immune cells in the pathogenesis of osteoporotic fractures and highlight the potential of XGBoost in identifying key biomarkers and therapeutic targets for mitigating fracture risk in osteoporotic patients. Background Osteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life. These fractures, often undiagnosed, can lead to severe health consequences and are influenced by bone mineral density and abnormal loads. Management strategies range from non-surgical interventions to surgical treatments. Moreover, the interaction between immune cells and bone cells plays a crucial role in bone repair processes, highlighting the importance of osteoimmunology in understanding and treating bone pathologies. Methods This study aims to investigate the xCell signature-based immune cell profiles in osteoporotic patients with and without vertebral fractures, utilizing advanced predictive modeling through the XGBoost algorithm. Results Our findings reveal an increased presence of CD4 + naïve T cells and central memory T cells in VF patients, indicating distinct adaptive immune responses. The XGBoost model identified Th1 cells, CD4 memory T cells, and hematopoietic stem cells as key predictors of VF. Notably, VF patients exhibited a reduction in Th1 cells and an enrichment of Th17 cells, which promote osteoclastogenesis and bone resorption. Gene expression analysis further highlighted an upregulation of osteoclast-related genes and a downregulation of osteoblast-related genes in VF patients, emphasizing the disrupted balance between bone formation and resorption. These findings underscore the critical role of immune cells in the pathogenesis of osteoporotic fractures and highlight the potential of XGBoost in identifying key biomarkers and therapeutic targets for mitigating fracture risk in osteoporotic patients. Abstract Background Osteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life. These fractures, often undiagnosed, can lead to severe health consequences and are influenced by bone mineral density and abnormal loads. Management strategies range from non-surgical interventions to surgical treatments. Moreover, the interaction between immune cells and bone cells plays a crucial role in bone repair processes, highlighting the importance of osteoimmunology in understanding and treating bone pathologies. Methods This study aims to investigate the xCell signature-based immune cell profiles in osteoporotic patients with and without vertebral fractures, utilizing advanced predictive modeling through the XGBoost algorithm. Results Our findings reveal an increased presence of CD4 + naïve T cells and central memory T cells in VF patients, indicating distinct adaptive immune responses. The XGBoost model identified Th1 cells, CD4 memory T cells, and hematopoietic stem cells as key predictors of VF. Notably, VF patients exhibited a reduction in Th1 cells and an enrichment of Th17 cells, which promote osteoclastogenesis and bone resorption. Gene expression analysis further highlighted an upregulation of osteoclast-related genes and a downregulation of osteoblast-related genes in VF patients, emphasizing the disrupted balance between bone formation and resorption. These findings underscore the critical role of immune cells in the pathogenesis of osteoporotic fractures and highlight the potential of XGBoost in identifying key biomarkers and therapeutic targets for mitigating fracture risk in osteoporotic patients. Osteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life. These fractures, often undiagnosed, can lead to severe health consequences and are influenced by bone mineral density and abnormal loads. Management strategies range from non-surgical interventions to surgical treatments. Moreover, the interaction between immune cells and bone cells plays a crucial role in bone repair processes, highlighting the importance of osteoimmunology in understanding and treating bone pathologies.BACKGROUNDOsteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life. These fractures, often undiagnosed, can lead to severe health consequences and are influenced by bone mineral density and abnormal loads. Management strategies range from non-surgical interventions to surgical treatments. Moreover, the interaction between immune cells and bone cells plays a crucial role in bone repair processes, highlighting the importance of osteoimmunology in understanding and treating bone pathologies.This study aims to investigate the xCell signature-based immune cell profiles in osteoporotic patients with and without vertebral fractures, utilizing advanced predictive modeling through the XGBoost algorithm.METHODSThis study aims to investigate the xCell signature-based immune cell profiles in osteoporotic patients with and without vertebral fractures, utilizing advanced predictive modeling through the XGBoost algorithm.Our findings reveal an increased presence of CD4 + naïve T cells and central memory T cells in VF patients, indicating distinct adaptive immune responses. The XGBoost model identified Th1 cells, CD4 memory T cells, and hematopoietic stem cells as key predictors of VF. Notably, VF patients exhibited a reduction in Th1 cells and an enrichment of Th17 cells, which promote osteoclastogenesis and bone resorption. Gene expression analysis further highlighted an upregulation of osteoclast-related genes and a downregulation of osteoblast-related genes in VF patients, emphasizing the disrupted balance between bone formation and resorption. These findings underscore the critical role of immune cells in the pathogenesis of osteoporotic fractures and highlight the potential of XGBoost in identifying key biomarkers and therapeutic targets for mitigating fracture risk in osteoporotic patients.RESULTSOur findings reveal an increased presence of CD4 + naïve T cells and central memory T cells in VF patients, indicating distinct adaptive immune responses. The XGBoost model identified Th1 cells, CD4 memory T cells, and hematopoietic stem cells as key predictors of VF. Notably, VF patients exhibited a reduction in Th1 cells and an enrichment of Th17 cells, which promote osteoclastogenesis and bone resorption. Gene expression analysis further highlighted an upregulation of osteoclast-related genes and a downregulation of osteoblast-related genes in VF patients, emphasizing the disrupted balance between bone formation and resorption. These findings underscore the critical role of immune cells in the pathogenesis of osteoporotic fractures and highlight the potential of XGBoost in identifying key biomarkers and therapeutic targets for mitigating fracture risk in osteoporotic patients. |
| ArticleNumber | 13 |
| Audience | Academic |
| Author | Huang, Shih-Ming Chang, Jen-Huei Su, Hui-Chen Chiu, Yi-Lin Yu, Ching-Hsiao Chen, Yi-Chou |
| Author_xml | – sequence: 1 givenname: Yi-Chou surname: Chen fullname: Chen, Yi-Chou organization: Department of Orthopedics, Taoyuan General Hospital, Ministry of Health and Welfare, Graduate Institute of Medical Sciences, National Defense Medical Center – sequence: 2 givenname: Hui-Chen surname: Su fullname: Su, Hui-Chen organization: Department of Pharmacy, Chi-Mei Medical Center – sequence: 3 givenname: Shih-Ming surname: Huang fullname: Huang, Shih-Ming organization: Department of Biochemistry, National Defense Medical Center – sequence: 4 givenname: Ching-Hsiao surname: Yu fullname: Yu, Ching-Hsiao email: smalloil1205@yahoo.com.tw organization: Department of Orthopedics, Taoyuan General Hospital, Ministry of Health and Welfare – sequence: 5 givenname: Jen-Huei surname: Chang fullname: Chang, Jen-Huei email: ortchang@gmail.com organization: Orthopedic Department, Cardinal Tien Hospital – sequence: 6 givenname: Yi-Lin surname: Chiu fullname: Chiu, Yi-Lin email: yilin1107@mail.ndmctsgh.edu.tw organization: Department of Biochemistry, National Defense Medical Center |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39905521$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kktv1DAUhSNURB_wB1igSGxgkeJXHGeFSgVlpEpIPCR2luNcp64Se7CdEeXX43Ra2qlQlYUT-zsnusfnsNhz3kFRvMToGGPB30VMEUMVInWFECNNdfWkOMBNzStEBd67975fHMZ4iRAnqKbPin3atqiuCT4o_qymaXZQahjHch28sSPEUrk-f0BvdbIbKCffw2jdUFpX-pjAr33wyepyAyFBF9RYmqB0mkPWznEhf5598BktJ6UvbPYfQQW3HKhx8MGmiyk-L54aNUZ4cbMeFT8-ffx--rk6_3K2Oj05rzRnJFUdNIZxwbGgqmaUgREd6gRDXas4bhuloBEd7hujsUK8a3vBGO2AkFrRTiF6VKy2vr1Xl3Id7KTClfTKyusNHwapQp5mBMkEIG5q3IComaG462raG6SZIcoIRLLX-63Xeu4m6DW4lKffMd09cfZCDn4jMW5aQmmTHd7cOAT_a4aY5GTjkr5y4OcoKea0RowTnNHXD9BLPweXs1qofH9NjegdNag8gXXG5x_rxVSeCMIpalu-UMf_ofLTw2R17tVy8buCtzuCzCT4nQY1xyhX377usq_up_IvjtuaZUBsAR18jAGM1DapZP0Skh0lRnJptNw2WuZGy-tGy6ssJQ-kt-6PiuhWFDPsBgh3yT2i-gv1hwkR |
| CitedBy_id | crossref_primary_10_1007_s00586_025_08796_y crossref_primary_10_1016_j_injury_2025_112570 |
| Cites_doi | 10.1002/mgg3.1391 10.1007/s00774-013-0477-2 10.1172/JCI167311 10.1007/s00586-003-0613-0 10.1093/nar/gkac1000 10.1038/srep41411 10.1186/s13059-017-1349-1 10.1016/j.bone.2014.03.052 10.1016/8756-3282(95)00502-1 10.1007/s00198-002-1348-1 10.1007/s11914-018-0423-2 10.1182/blood.V116.21.1018.1018 10.1111/eci.12158 10.1016/j.bone.2010.06.015 10.1145/2939672.2939785 10.1007/s00198-005-2023-0 10.3389/fimmu.2023.1074207 10.1177/0022034513500306 10.31083/j.fbl2903115 10.1097/j.pain.0000000000001592 10.1002/jbmr.5650060302 10.4049/jimmunol.1101934 10.1186/1471-2105-14-128 10.1038/ni1500 10.4252/wjsc.v13.i11.1667 10.1007/s00198-009-0981-3 10.1038/ncomms10928 10.1148/radiology.165.2.3659378 10.1371/journal.pone.0040044 10.4049/jimmunol.1101742 10.1016/j.molmed.2014.06.001 10.1016/j.bone.2010.03.019 10.1016/j.spinee.2006.04.013 10.1172/jci.insight.90547 10.1196/annals.1402.084 10.1016/j.bone.2003.12.001 10.1093/nar/gkac328 10.1007/s100380170077 10.3389/fimmu.2017.00562 10.1084/jem.20061775 10.1016/j.jhep.2018.12.035 10.1016/j.coi.2006.09.008 10.1016/j.pbiomolbio.2017.12.004 10.1073/pnas.95.7.3597 10.1182/blood-2012-09-378653 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2025 2025. The Author(s). COPYRIGHT 2025 BioMed Central Ltd. 2025. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. The Author(s) 2025 2025 |
| Copyright_xml | – notice: The Author(s) 2025 – notice: 2025. The Author(s). – notice: COPYRIGHT 2025 BioMed Central Ltd. – notice: 2025. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: The Author(s) 2025 2025 |
| DBID | C6C AAYXX CITATION NPM ISR 3V. 7QO 7SC 7X7 7XB 8AL 8C1 8FD 8FE 8FG 8FH 8FI 8FJ 8FK ABUWG AEUYN AFKRA ARAPS AZQEC BBNVY BENPR BGLVJ BHPHI CCPQU DWQXO FR3 FYUFA GHDGH GNUQQ HCIFZ JQ2 K7- K9. L7M LK8 L~C L~D M0N M0S M7P P5Z P62 P64 PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS Q9U 7X8 5PM DOA |
| DOI | 10.1186/s13040-025-00427-y |
| DatabaseName | Springer Nature OA Free Journals CrossRef PubMed Gale In Context: Science ProQuest Central (Corporate) Biotechnology Research Abstracts Computer and Information Systems Abstracts Health & Medical Collection (ProQuest) ProQuest Central (purchase pre-March 2016) Computing Database (Alumni Edition) Public Health Database (ProQuest) Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central Essentials Biological Science Collection ProQuest Central Database Suite (ProQuest) ProQuest Technology Collection Natural Science Collection ProQuest One Community College ProQuest Central Korea Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Computer Science Collection Computer Science Database (ProQuest) ProQuest Health & Medical Complete (Alumni) Advanced Technologies Database with Aerospace ProQuest Biological Science Collection Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional Computing Database ProQuest Health & Medical Collection Biological Science Database (ProQuest) Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed Publicly Available Content Database Computer Science Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials ProQuest Computer Science Collection Computer and Information Systems Abstracts SciTech Premium Collection ProQuest Central China ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Natural Science Collection Health & Medical Research Collection Biological Science Collection ProQuest Central (New) Advanced Technologies & Aerospace Collection ProQuest Biological Science Collection ProQuest One Academic Eastern Edition ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Engineering Research Database ProQuest One Academic ProQuest One Academic (New) Technology Collection Technology Research Database Computer and Information Systems Abstracts – Academic ProQuest One Academic Middle East (New) ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Central ProQuest Health & Medical Research Collection Biotechnology Research Abstracts Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Advanced Technologies Database with Aerospace ProQuest Computing ProQuest Public Health ProQuest Central Basic ProQuest Computing (Alumni Edition) ProQuest SciTech Collection Computer and Information Systems Abstracts Professional Advanced Technologies & Aerospace Database ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | Publicly Available Content Database PubMed MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ: Directory of Open Access Journal (DOAJ) url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 1756-0381 |
| EndPage | 20 |
| ExternalDocumentID | oai_doaj_org_article_48e06f517e854f31bb53df0c4f2af802 PMC11792337 A826309963 39905521 10_1186_s13040_025_00427_y |
| Genre | Journal Article |
| GrantInformation_xml | – fundername: Ministry of National Defense-Medical Affairs Bureau grantid: MND-MAB-D-113140 – fundername: Chi-Mei Medical Center grantid: CMNDMC10905 – fundername: Taoyuan General Hospital, Ministry of Health and Welfare grantid: PTH111060 and PTH112056 – fundername: Cardinal Tien Hospital grantid: CTH111AK-NDMC-2224 funderid: http://dx.doi.org/10.13039/501100009974 – fundername: National Science and Technology Council, Taiwan (R.O.C.) grantid: MOST-111-2314-B-016-019-MY3 – fundername: Cardinal Tien Hospital grantid: CTH111AK-NDMC-2224 |
| GroupedDBID | --- 0R~ 23N 2WC 5GY 5VS 6J9 7X7 8C1 8FE 8FG 8FH 8FI 8FJ AAFWJ AAJSJ AAKPC AASML ABDBF ABUWG ACGFO ACGFS ACIHN ACIWK ACPRK ACUHS ADBBV ADMLS ADRAZ ADUKV AEAQA AENEX AEUYN AFKRA AFPKN AFRAH AHBYD AHMBA AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS ARAPS AZQEC BAPOH BAWUL BBNVY BCNDV BENPR BFQNJ BGLVJ BHPHI BMC BPHCQ BVXVI C6C CCPQU CS3 DIK DWQXO E3Z EBD EBLON EBS ESX F5P FYUFA GNUQQ GROUPED_DOAJ GX1 HCIFZ HMCUK HYE IAO IEA IHR ISR ITC K6V K7- KQ8 LK8 M7P ML~ M~E O5R O5S OK1 P2P P62 PGMZT PHGZM PHGZT PIMPY PJZUB PPXIY PQGLB PQQKQ PROAC PUEGO RBZ RNS ROL RPM RSV SBL SOJ TR2 TUS UKHRP ~8M AAYXX AFFHD CITATION ALIPV NPM 3V. 7QO 7SC 7XB 8AL 8FD 8FK FR3 JQ2 K9. L7M L~C L~D M0N M48 P64 PKEHL PQEST PQUKI PRINS Q9U 7X8 5PM |
| ID | FETCH-LOGICAL-c642t-be7f4686183a5434ef8b0b840b9a6197aae78b1d7fc1a06b9d8443be225a3ba03 |
| IEDL.DBID | RSV |
| ISICitedReferencesCount | 2 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001412880400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1756-0381 |
| IngestDate | Tue Oct 14 18:49:18 EDT 2025 Tue Nov 04 02:05:29 EST 2025 Thu Sep 04 16:49:13 EDT 2025 Tue Oct 07 05:47:08 EDT 2025 Tue Nov 11 10:50:54 EST 2025 Tue Nov 04 18:17:15 EST 2025 Thu Nov 13 16:01:28 EST 2025 Thu Apr 03 07:06:35 EDT 2025 Sat Nov 29 06:06:41 EST 2025 Tue Nov 18 21:32:21 EST 2025 Sat Sep 06 07:24:24 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | Osteoporosis Vertebral fractures Th17 cell differentiation XGBoost |
| Language | English |
| License | 2025. The Author(s). Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c642t-be7f4686183a5434ef8b0b840b9a6197aae78b1d7fc1a06b9d8443be225a3ba03 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | https://link.springer.com/10.1186/s13040-025-00427-y |
| PMID | 39905521 |
| PQID | 3165527503 |
| PQPubID | 55347 |
| PageCount | 20 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_48e06f517e854f31bb53df0c4f2af802 pubmedcentral_primary_oai_pubmedcentral_nih_gov_11792337 proquest_miscellaneous_3163504621 proquest_journals_3165527503 gale_infotracmisc_A826309963 gale_infotracacademiconefile_A826309963 gale_incontextgauss_ISR_A826309963 pubmed_primary_39905521 crossref_citationtrail_10_1186_s13040_025_00427_y crossref_primary_10_1186_s13040_025_00427_y springer_journals_10_1186_s13040_025_00427_y |
| PublicationCentury | 2000 |
| PublicationDate | 2025-02-04 |
| PublicationDateYYYYMMDD | 2025-02-04 |
| PublicationDate_xml | – month: 02 year: 2025 text: 2025-02-04 day: 04 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | BioData mining |
| PublicationTitleAbbrev | BioData Mining |
| PublicationTitleAlternate | BioData Min |
| PublicationYear | 2025 |
| Publisher | BioMed Central BioMed Central Ltd Springer Nature B.V BMC |
| Publisher_xml | – name: BioMed Central – name: BioMed Central Ltd – name: Springer Nature B.V – name: BMC |
| References | P Muranski (427_CR42) 2013; 121 13 M Haffner-Luntzer (427_CR14) 2023; 14 BF Boyce (427_CR17) 2013; 92 BL Riggs (427_CR6) 1996; 18 S Kojiro (427_CR32) 2006; 203 M Grigoryan (427_CR4) 2003; 12 K Ilona (427_CR38) 2011; 3 N Ota (427_CR45) 2001; 46 I Könnecke (427_CR37) 2014; 64 Y Feng-Lai (427_CR29) 2011; 39 JF Charles (427_CR16) 2014; 20 427_CR23 X Wu (427_CR49) 2024; 29 WF Jabber (427_CR47) 2015; 7 A Weber (427_CR21) 2019; 148 PA Kaplan (427_CR9) 1987; 165 T Schmidt (427_CR30) 2019; 70 5 DH Kim (427_CR1) 2006; 6 R Zhao (427_CR28) 2013; 43 BF Boyce (427_CR18) 2007; 1116 TZ Guo (427_CR13) 2019; 160 J Fechtenbaum (427_CR7) 2005; 16 D Szklarczyk (427_CR25) 2023; 51 R Caroline (427_CR39) 2011; 187 JE Evangelista (427_CR24) 2022; 50 S Ehnert (427_CR15) 2021; 13 J Sanfélix-Genovés (427_CR8) 2010; 47 Y Ni (427_CR46) 2014; 32 R Eastell (427_CR2) 1991; 6 MA Oropallo (427_CR12) 2012; 188 427_CR41 427_CR43 EY Chen (427_CR26) 2013; 14 D Nam (427_CR19) 2012; 7 D Aran (427_CR27) 2017; 18 H Yasuda (427_CR20) 1998; 95 G Jiang (427_CR10) 2010; 47 P Muranski (427_CR40) 2010; 116 P Giampietro (427_CR44) 2010; 21 GS Baht (427_CR11) 2018; 16 A Brüstle (427_CR48) 2007; 8 427_CR36 K Kikly (427_CR31) 2006; 18 HK Genant (427_CR5) 2003; 14 LH Jales Neto (427_CR22) 2020; 8 427_CR33 427_CR35 J Homminga (427_CR3) 2004; 34 427_CR34 |
| References_xml | – volume: 8 start-page: e1391 issue: 9 year: 2020 ident: 427_CR22 publication-title: Mol Genet Genomic Med doi: 10.1002/mgg3.1391 – volume: 32 start-page: 167 year: 2014 ident: 427_CR46 publication-title: J Bone Miner Metab doi: 10.1007/s00774-013-0477-2 – ident: 427_CR34 doi: 10.1172/JCI167311 – volume: 12 start-page: S104 issue: Suppl 2 year: 2003 ident: 427_CR4 publication-title: Eur Spine J doi: 10.1007/s00586-003-0613-0 – volume: 51 start-page: D638 issue: D1 year: 2023 ident: 427_CR25 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkac1000 – ident: 427_CR43 doi: 10.1038/srep41411 – volume: 39 start-page: 771 year: 2011 ident: 427_CR29 publication-title: Mol Biol Rep – volume: 18 start-page: 220 issue: 1 year: 2017 ident: 427_CR27 publication-title: Genome Biol doi: 10.1186/s13059-017-1349-1 – volume: 64 start-page: 155 year: 2014 ident: 427_CR37 publication-title: Bone doi: 10.1016/j.bone.2014.03.052 – volume: 18 start-page: s197 issue: 3 Suppl year: 1996 ident: 427_CR6 publication-title: Bone doi: 10.1016/8756-3282(95)00502-1 – volume: 14 start-page: S43 issue: Suppl 3 year: 2003 ident: 427_CR5 publication-title: Osteoporos Int doi: 10.1007/s00198-002-1348-1 – volume: 16 start-page: 138 issue: 2 year: 2018 ident: 427_CR11 publication-title: Curr Osteoporos Rep doi: 10.1007/s11914-018-0423-2 – volume: 116 start-page: 1018 year: 2010 ident: 427_CR40 publication-title: Blood doi: 10.1182/blood.V116.21.1018.1018 – volume: 43 start-page: 1195 year: 2013 ident: 427_CR28 publication-title: Eur J Clin Invest doi: 10.1111/eci.12158 – volume: 47 start-page: 610 issue: 3 year: 2010 ident: 427_CR8 publication-title: Bone doi: 10.1016/j.bone.2010.06.015 – ident: 427_CR23 doi: 10.1145/2939672.2939785 – volume: 16 start-page: 2175 issue: 12 year: 2005 ident: 427_CR7 publication-title: Osteoporos Int doi: 10.1007/s00198-005-2023-0 – volume: 14 start-page: 1074207 year: 2023 ident: 427_CR14 publication-title: Front Immunol doi: 10.3389/fimmu.2023.1074207 – volume: 92 start-page: 860 issue: 10 year: 2013 ident: 427_CR17 publication-title: J Dent Res doi: 10.1177/0022034513500306 – volume: 29 start-page: 115 issue: 3 year: 2024 ident: 427_CR49 publication-title: Front Biosci (Landmark Ed) doi: 10.31083/j.fbl2903115 – volume: 160 start-page: 2013 issue: 9 year: 2019 ident: 427_CR13 publication-title: Pain doi: 10.1097/j.pain.0000000000001592 – volume: 6 start-page: 207 issue: 3 year: 1991 ident: 427_CR2 publication-title: J Bone Min Res doi: 10.1002/jbmr.5650060302 – volume: 188 start-page: 5257 issue: 11 year: 2012 ident: 427_CR12 publication-title: J Immunol doi: 10.4049/jimmunol.1101934 – volume: 14 start-page: 128 year: 2013 ident: 427_CR26 publication-title: BMC Bioinformatics doi: 10.1186/1471-2105-14-128 – volume: 8 start-page: 958 issue: 9 year: 2007 ident: 427_CR48 publication-title: Nat Immunol doi: 10.1038/ni1500 – volume: 13 start-page: 1667 issue: 11 year: 2021 ident: 427_CR15 publication-title: World J Stem Cells doi: 10.4252/wjsc.v13.i11.1667 – volume: 21 start-page: 467 year: 2010 ident: 427_CR44 publication-title: Osteoporos Int doi: 10.1007/s00198-009-0981-3 – ident: 427_CR33 doi: 10.1038/ncomms10928 – ident: 427_CR35 – volume: 165 start-page: 533 issue: 2 year: 1987 ident: 427_CR9 publication-title: Radiology doi: 10.1148/radiology.165.2.3659378 – volume: 7 start-page: e40044 issue: 6 year: 2012 ident: 427_CR19 publication-title: PLoS ONE doi: 10.1371/journal.pone.0040044 – volume: 187 start-page: 5196 year: 2011 ident: 427_CR39 publication-title: J Immunol doi: 10.4049/jimmunol.1101742 – volume: 7 start-page: 65 year: 2015 ident: 427_CR47 publication-title: Chem Mater Res – volume: 20 start-page: 449 issue: 8 year: 2014 ident: 427_CR16 publication-title: Trends Mol Med doi: 10.1016/j.molmed.2014.06.001 – volume: 47 start-page: 111 issue: 1 year: 2010 ident: 427_CR10 publication-title: Bone doi: 10.1016/j.bone.2010.03.019 – volume: 6 start-page: 479 issue: 5 year: 2006 ident: 427_CR1 publication-title: Spine J doi: 10.1016/j.spinee.2006.04.013 – ident: 427_CR41 doi: 10.1172/jci.insight.90547 – volume: 3 start-page: 104 year: 2011 ident: 427_CR38 publication-title: Sci Transl Med – volume: 1116 start-page: 245 year: 2007 ident: 427_CR18 publication-title: Ann N Y Acad Sci doi: 10.1196/annals.1402.084 – volume: 34 start-page: 510 issue: 3 year: 2004 ident: 427_CR3 publication-title: Bone doi: 10.1016/j.bone.2003.12.001 – volume: 50 start-page: W697 issue: W1 year: 2022 ident: 427_CR24 publication-title: Nucleic Acids Res doi: 10.1093/nar/gkac328 – volume: 46 start-page: 267 year: 2001 ident: 427_CR45 publication-title: J Hum Genet doi: 10.1007/s100380170077 – ident: 427_CR36 doi: 10.3389/fimmu.2017.00562 – volume: 203 start-page: 2673 year: 2006 ident: 427_CR32 publication-title: J Exp Med doi: 10.1084/jem.20061775 – volume: 70 5 start-page: 941 year: 2019 ident: 427_CR30 publication-title: J Hepatol doi: 10.1016/j.jhep.2018.12.035 – volume: 18 start-page: 670 issue: 6 year: 2006 ident: 427_CR31 publication-title: Curr Opin Immunol doi: 10.1016/j.coi.2006.09.008 – volume: 148 start-page: 21 year: 2019 ident: 427_CR21 publication-title: Prog Biophys Mol Biol doi: 10.1016/j.pbiomolbio.2017.12.004 – volume: 95 start-page: 3597 issue: 7 year: 1998 ident: 427_CR20 publication-title: Proc Natl Acad Sci U S A doi: 10.1073/pnas.95.7.3597 – volume: 121 13 start-page: 2402 year: 2013 ident: 427_CR42 publication-title: Blood doi: 10.1182/blood-2012-09-378653 |
| SSID | ssj0062053 |
| Score | 2.3427305 |
| Snippet | Background
Osteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life.... Osteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life. These... Background Osteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life.... BackgroundOsteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of life.... Abstract Background Osteoporosis significantly increases the risk of vertebral fractures, particularly among postmenopausal women, decreasing their quality of... |
| SourceID | doaj pubmedcentral proquest gale pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 13 |
| SubjectTerms | Algorithms B cells Bioinformatics Biomarkers Biomedical and Life Sciences Bone density Bone growth Bone healing Bone mineral density Bone resorption Bones CD4 antigen Cell differentiation Cells Computational Biology/Bioinformatics Computer Appl. in Life Sciences Cytokines Data mining Data Mining and Knowledge Discovery Data Mining in Biomedical informatics and Healthcare Datasets Fractures Gene expression Genes Helper cells Hematopoietic stem cells Homeopathy Immune response Immune system Immunological memory Immunology Life Sciences Lymphocytes Lymphocytes T Machine learning Materia medica and therapeutics Memory cells Osteoclastogenesis Osteogenesis Osteoporosis Pathogenesis Post-menopause Postmenopausal women Prediction models Quality of life Spinal cord Stem cells Strategic planning (Business) T cells Th17 cell differentiation Therapeutic targets Therapeutics Vertebrae Vertebral fractures Womens health XGBoost |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3di9QwEA9yKPgifls9JYrgg5ZLmzRJH-_E0wM5xC_2LSRtsrew18p2V1j_emfSdr2eqC8-tjMN7cxkkmlm5kfIc-GKoBREJy4LMhVCFKnNS59y7YrCMuVcxCL4-l6dnurZrPxwAeoLc8L69sC94A6E9kyGIlNeFyLwzLmC14FVIuQ26L6NJFPlGEz1PljmYFtjiYyWBx14akxjzIs0gkuk28kyFLv1_-6TLyxKlxMmL52axsXo-Ca5Mewi6WH_9rfIFd_cJtd6XMntHfLjBKs-PMW_8nRA5e6obWq4wIMZdHE0YuDA6HTRUKz0aGEn3sJ4FBGa8Th5SQOWUG0gIKeYHj-ns7dHLbDS85iB6ekAOTGndjlvV4v12Xl3l3w5fvP59bt0AFlIKwg91qnzKgipJUxti2WmPmjHHIR9rrQQXClrvdIuq1WoMsukK2stBHce_IDlzjJ-j-w1beMfEBoyZWtgrksdhJXMyToLCCBThdyrWickG2VuqqEDOQJhLE2MRLQ0vZ4M6MlEPZltQl7unvnW99_4K_cRqnLHib2z4w2wKDNYlPmXRSXkGRqCwe4YDabfzO2m68zJp4_mEIIxDntqyRPyYmAKLXxDZYdqBpAE6nTCuT_hhOlbTcmjvZnBfXSGZxI74xUMyE93ZHwSU-Ia324iDy-wtDhLyP3ePHffDbtOBgMARU8MdyKYKaVZnMXm4tgiMOdcJeTVaOO_3uvPkn_4PyT_iFzP4xzNUyb2yd56tfGPydXq-3rRrZ7EGf4TZIBUsQ priority: 102 providerName: Directory of Open Access Journals – databaseName: Biological Science Database (ProQuest) dbid: M7P link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELaggMSFdyFQkEFIHCBqEju294RaRKESqipe2ptlJ_Z2pW1SNrtIy69nxutsSRG9cEw8ifwYf_bYM_MR8pLb0ksJ1onNvUg552VqipFLmbJlaTJpbeAi-P5JHh2p8Xh0HA_cuuhW2WNiAOq6rfCMfJflApOFlRl7e_YjRdYovF2NFBpXyTXMklAE173jHolFARrWB8oosdsBXqMzY1GmgWIiXQ0Wo5Cz_29k_mNpuug2eeHuNCxJB7f_tzF3yK24GaV7a-25S6645h65saanXN0nvw4xeMRRPNynkdy7o6ap4QHvdxApaaDSgerRaUMxYKSFDX0L_6NI9Iy30jPqMRJrCXY9RS_7CR1_2G9BlJ4GR05HI3PFhJrZBGq5ODntHpBvB--_vvuYRq6GtAILZpFaJz0XSgBCGIxWdV7ZzIL1aEcGbDRpjJPK5rX0VW4yYUe14pxZB3BimDUZ2yZbTdu4R4T6XJoahOuR8tyIzIo698hDU_nCyVolJO8HTVcxkTnyacx0MGiU0OuB1jDQOgy0XiXk9eabs3Uaj0ul91EXNpKYgju8aOcTHWe05splwpe5dKrknuXWlqz2WcV9YbzKioS8QE3SmGSjQS-eiVl2nT788lnvgU3HYGsuWEJeRSHfQhsqE4MioCdwTAeSOwNJQIFqWNxrmo4o1OlzNUvI800xfomedY1rl0GGlRihnCfk4Vq_N-2GzWsGP4ASNdD8QccMS5rpSchRjpkGC8ZkQt70k-S8Xv_u-ceXN-MJuVmE6VukGd8hW4v50j0l16ufi2k3fxYm_2_bOmKe priority: 102 providerName: ProQuest |
| Title | Immune cell profiles and predictive modeling in osteoporotic vertebral fractures using XGBoost machine learning algorithms |
| URI | https://link.springer.com/article/10.1186/s13040-025-00427-y https://www.ncbi.nlm.nih.gov/pubmed/39905521 https://www.proquest.com/docview/3165527503 https://www.proquest.com/docview/3163504621 https://pubmed.ncbi.nlm.nih.gov/PMC11792337 https://doaj.org/article/48e06f517e854f31bb53df0c4f2af802 |
| Volume | 18 |
| WOSCitedRecordID | wos001412880400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVADU databaseName: BioMed Central Open Access Free customDbUrl: eissn: 1756-0381 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0062053 issn: 1756-0381 databaseCode: RBZ dateStart: 20080101 isFulltext: true titleUrlDefault: https://www.biomedcentral.com/search/ providerName: BioMedCentral – providerCode: PRVAON databaseName: DOAJ: Directory of Open Access Journal (DOAJ) customDbUrl: eissn: 1756-0381 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0062053 issn: 1756-0381 databaseCode: DOA dateStart: 20080101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources (ISSN International Center) customDbUrl: eissn: 1756-0381 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0062053 issn: 1756-0381 databaseCode: M~E dateStart: 20080101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1756-0381 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0062053 issn: 1756-0381 databaseCode: P5Z dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Biological Science Database (ProQuest) customDbUrl: eissn: 1756-0381 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0062053 issn: 1756-0381 databaseCode: M7P dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Computer Science Database (ProQuest) customDbUrl: eissn: 1756-0381 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0062053 issn: 1756-0381 databaseCode: K7- dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/compscijour providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection (ProQuest) customDbUrl: eissn: 1756-0381 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0062053 issn: 1756-0381 databaseCode: 7X7 dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central Database Suite (ProQuest) customDbUrl: eissn: 1756-0381 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0062053 issn: 1756-0381 databaseCode: BENPR dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Public Health Database (ProQuest) customDbUrl: eissn: 1756-0381 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0062053 issn: 1756-0381 databaseCode: 8C1 dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/publichealth providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1756-0381 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0062053 issn: 1756-0381 databaseCode: PIMPY dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVAVX databaseName: SpringerLINK Contemporary 1997-Present customDbUrl: eissn: 1756-0381 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0062053 issn: 1756-0381 databaseCode: RSV dateStart: 20081201 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwELfYBhIvfH8ERmUQEg8QkU_bfVynDSqgijqYyl4sO7G7Sl2Cmhap_PXcuUkh40OCF0vJndP6cj774rv7EfI80anlHLwTHVrmJ0mS-irqGz8WOk1VwLV2WASn7_loJCaTftYkhdVttHt7JOkstZvWgr2uwdpiKGKU-g4gwl_vkD1Y7gQCNoxPTlv7yyLQqzY95rf9OkuQq9T_qz3-aUG6HCx56cTULUTHN_9vCLfIjWbjSQ82mnKbXDHlHXJtA0W5vku-DTFRxFD8kE8bIO-aqrKACzzLQatIHWwO_CCdlRSTQyrYvFfwPIqgzngCPacWs65W4MNTjKif0smbQQWs9MIFbRraoFRMqZpPq8VseX5R3yOfjo8-Hr71G1wGPwdvZelrw23CBANroDAz1VihAw2eou4r8Me4UoYLHRbc5qEKmO4XIklibcB0qFirIL5PdsuqNA8JtSFXBTAXfWETxQLNitAi5kxuI8ML4ZGwfVUyb4qWI3bGXDrnRTC5kakEmUonU7n2yMttny-bkh1_5R6gBmw5sdy2u1EtprKZvTIRJmA2DbkRaWLjUOs0LmyQJzZSVgSRR56h_kgsqFFixM5UrepaDk_G8gD8txi24Sz2yIuGyVYwhlw1CRAgCXynHc79DifM-LxLbtVUNhanlnHIsJheGgD56ZaMPTGKrjTVyvHEKWYjhx55sNHq7bhhoxrAA4AiOvreEUyXUs7OXT1yrCoYxTH3yKtW7X_8rz9L_tG_sT8m1yM3cyI_SPbJ7nKxMk_I1fzrclYvemSHT7hrBbTiMOyRvcHRKBv33FcWaN9xv4eRvRm0WXoG9Gz4Ifvcc8bjO6H9Yw0 |
| linkProvider | Springer Nature |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3db9MwELfGAMEL3x-BAQaBeIBoSezE7gNCGzBWdUyIDbQ3Yyd2N6lLRtOCyh_F38idm3RkiL3tgcfWZ6u-_O6cq-_uR8hTblInBEQnJnZZyDlPQ530bMikSVMdCWM8F8GXLbG9Lff2eh-XyK-2FgbTKluf6B11UeX4H_kqizNsFpZG7PXRtxBZo_B2taXQmMNiYGc_IGSrX_XfwvN9liQb73bfbIYNq0CYw7v2JDRWOJ7JDLCssa7SOmkiA3GO6WmIJoTWVkgTF8LlsY4y0ysk58xYAL5mRkcM1j1HznMmBdrVQISt588SQHRbmCOz1RrOB0yeTNLQU1qEs87h5zkC_j4J_jgKT6Zpnrir9UfgxtX_TXnXyJXmZZuuza3jOlmy5Q1ycU6_ObtJfvaxOMZSvLygDXl5TXVZwAe8v8KTgHqqIFAHPSgpFsRUELBUsB5FImu8dR9Rh5Vm0zHMxSqCId17v16BKD30iaqWNswcQ6pHQ9DKZP-wvkU-n8nGb5PlsirtXUJdLHQBwkVPOq6zyGRF7JBnJ3eJFYUMSNyCROVNo3bkCxkpH7DJTM2BpQBYygNLzQLyYjHnaN6m5FTpdcTeQhJbjPsvqvFQNR5LcWmjzKWxsDLljsXGpKxwUc5dop2MkoA8QeQqbCJSYpbSUE_rWvV3Pqk1iFkZhB4ZC8jzRshVsIdcN0UfoAl8ph3JlY4keLm8O9wiWzVetlbHsA7I48UwzsTMwdJWUy_DUqzAjgNyZ25Pi33Dy3kEC8CI7FhaRzHdkfJg3_dgx06KCWMiIC9bozz-Xf_W_L3Tt_GIXNrc_bCltvrbg_vkcuJdRxJGfIUsT8ZT-4BcyL9PDurxQ-94KPl61sb6G9sOv3M |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3db9MwELdgfIgXvj8CAwxC4mFES2LHcR83oFAxVRODqW-WndhdpS6Zmhap_PXcOUlZxoeEeEzunMTn89kX392PkFfcpC7LwDsxsRMh5zwNdTKwIZMmTXWUGeOxCI4PsvFYTiaDw3NZ_D7avTuSbHIasEpTudw9K1wzxaXYrcHyYlhikoYeLCJcXyZXOAbSo79-dNzZYpGAjnWpMr9t11uOfNX-X23zucXpYuDkhdNTvygNb_1_d26Tm-2GlO41GnSHXLLlXXKtgahc3yPfR5hAYin-4KctwHdNdVnABZ7xoLWkHk4HXk5nJcWkkQo29RU8jyLYM55Mz6nDbKwV-PYUI-2ndPJhvwJWeuqDOS1t0SumVM-n1WK2PDmt75Ovw_df3n4MW7yGMAcvZhkamzkupAAroTFj1TppIgMepBlo8NMyrW0mTVxkLo91JMygkJwzY8GkaGZ0xB6QrbIq7SNCXZzpApiLgXRci8iIInaIRZO7xGaFDEjcDZvK22LmiKkxV96pkUI1MlUgU-VlqtYB2dm0OWtKefyVex-1YcOJZbj9jWoxVe2sVlzaSLg0zqxMuWOxMSkrXJRzl2gnoyQgL1GXFBbaKDGSZ6pXda1GR5_VHvh1DLbnggXkdcvkKuhDrtvECJAEjmmPc7vHCZYg75M7lVWtJaoViwUW2UsjIL_YkLElRteVtlp5HpZilnIckIeNhm_6DRvYCB4AFNnT_Z5g-pRyduLrlGO1wYSxLCBvuinw87v-LPnH_8b-nFw_fDdUB6PxpyfkRuInURJGfJtsLRcr-5Rczb8tZ_XimbcMPwBz1WUz |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Immune+cell+profiles+and+predictive+modeling+in+osteoporotic+vertebral+fractures+using+XGBoost+machine+learning+algorithms&rft.jtitle=BioData+mining&rft.au=Chen%2C+Yi-Chou&rft.au=Su%2C+Hui-Chen&rft.au=Huang%2C+Shih-Ming&rft.au=Yu%2C+Ching-Hsiao&rft.date=2025-02-04&rft.issn=1756-0381&rft.eissn=1756-0381&rft.volume=18&rft.issue=1&rft.spage=13&rft_id=info:doi/10.1186%2Fs13040-025-00427-y&rft_id=info%3Apmid%2F39905521&rft.externalDocID=39905521 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1756-0381&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1756-0381&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1756-0381&client=summon |