Development of an effective clustering algorithm for older fallers

Falls are common and often lead to serious physical and psychological consequences for older persons. The occurrence of falls are usually attributed to the interaction between multiple risk factors. The clinical evaluation of falls risks is time-consuming as a result, hence limiting its availability...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	PloS one Ročník 17; číslo 11; s. e0277966
Hlavní autoři:	Goh, Choon-Hian, Wong, Kam Kang, Tan, Maw Pin, Ng, Siew-Cheok, Chuah, Yea Dat, Kwan, Ban-Hoe
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 28.11.2022 Public Library of Science (PLoS)
Témata:	Aged Aged, 80 and over Algorithms Analysis Balance Biology and Life Sciences Clinical decision making Clinical medicine Cluster Analysis Clustering Cognitive ability Data collection Datasets Decision support systems Embedding Falls Falls (Accidents) Feature extraction Feature selection Gait Health aspects Health risks Hospitals Humans Hypothesis testing Medicine and Health Sciences Missing data Muscle Strength Older people Physical Sciences Physiological aspects Principal Component Analysis Principal components analysis Research and Analysis Methods Risk analysis Risk Factors Risk groups Statistical analysis Stochasticity Vector quantization Malaysia
ISSN:	1932-6203, 1932-6203
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Abstract	Falls are common and often lead to serious physical and psychological consequences for older persons. The occurrence of falls are usually attributed to the interaction between multiple risk factors. The clinical evaluation of falls risks is time-consuming as a result, hence limiting its availability. The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. Data from the Malaysian Elders Longitudinal Research (MELoR), comprising 1411 subjects aged ≥55 years, were utilized. The proposed algorithm was developed through the stages of: data pre-processing, feature identification and extraction with either t-Distributed Stochastic Neighbour Embedding (t-SNE) or principal component analysis (PCA)), clustering (K-means clustering, Hierarchical clustering, and Fuzzy C-means clustering) and characteristics interpretation with statistical analysis. A total of 1279 subjects and 9 variables were selected for clustering after the data pre-possessing stage. Using feature extraction with the t-SNE and the K-means clustering algorithm, subjects were clustered into low, intermediate A, intermediate B and high fall risk groups which corresponded with fall occurrence of 13%, 19%, 21% and 31% respectively. Slower gait, poorer balance, weaker muscle strength, presence of cardiovascular disorder, poorer cognitive performance, and advancing age were the key variables identified. The proposed fall risk clustering algorithm grouped the subjects according to features. Such a tool could serve as a case identification or clinical decision support tool for clinical practice to enhance access to falls prevention efforts.
AbstractList	Falls are common and often lead to serious physical and psychological consequences for older persons. The occurrence of falls are usually attributed to the interaction between multiple risk factors. The clinical evaluation of falls risks is time-consuming as a result, hence limiting its availability. The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. Data from the Malaysian Elders Longitudinal Research (MELoR), comprising 1411 subjects aged ≥55 years, were utilized. The proposed algorithm was developed through the stages of: data pre-processing, feature identification and extraction with either t-Distributed Stochastic Neighbour Embedding (t-SNE) or principal component analysis (PCA)), clustering (K-means clustering, Hierarchical clustering, and Fuzzy C-means clustering) and characteristics interpretation with statistical analysis. A total of 1279 subjects and 9 variables were selected for clustering after the data pre-possessing stage. Using feature extraction with the t-SNE and the K-means clustering algorithm, subjects were clustered into low, intermediate A, intermediate B and high fall risk groups which corresponded with fall occurrence of 13%, 19%, 21% and 31% respectively. Slower gait, poorer balance, weaker muscle strength, presence of cardiovascular disorder, poorer cognitive performance, and advancing age were the key variables identified. The proposed fall risk clustering algorithm grouped the subjects according to features. Such a tool could serve as a case identification or clinical decision support tool for clinical practice to enhance access to falls prevention efforts. Falls are common and often lead to serious physical and psychological consequences for older persons. The occurrence of falls are usually attributed to the interaction between multiple risk factors. The clinical evaluation of falls risks is time-consuming as a result, hence limiting its availability. The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. Data from the Malaysian Elders Longitudinal Research (MELoR), comprising 1411 subjects aged [greater than or equal to]55 years, were utilized. The proposed algorithm was developed through the stages of: data pre-processing, feature identification and extraction with either t-Distributed Stochastic Neighbour Embedding (t-SNE) or principal component analysis (PCA)), clustering (K-means clustering, Hierarchical clustering, and Fuzzy C-means clustering) and characteristics interpretation with statistical analysis. A total of 1279 subjects and 9 variables were selected for clustering after the data pre-possessing stage. Using feature extraction with the t-SNE and the K-means clustering algorithm, subjects were clustered into low, intermediate A, intermediate B and high fall risk groups which corresponded with fall occurrence of 13%, 19%, 21% and 31% respectively. Slower gait, poorer balance, weaker muscle strength, presence of cardiovascular disorder, poorer cognitive performance, and advancing age were the key variables identified. The proposed fall risk clustering algorithm grouped the subjects according to features. Such a tool could serve as a case identification or clinical decision support tool for clinical practice to enhance access to falls prevention efforts. Falls are common and often lead to serious physical and psychological consequences for older persons. The occurrence of falls are usually attributed to the interaction between multiple risk factors. The clinical evaluation of falls risks is time-consuming as a result, hence limiting its availability. The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. Data from the Malaysian Elders Longitudinal Research (MELoR), comprising 1411 subjects aged ≥55 years, were utilized. The proposed algorithm was developed through the stages of: data pre-processing, feature identification and extraction with either t-Distributed Stochastic Neighbour Embedding (t-SNE) or principal component analysis (PCA)), clustering (K-means clustering, Hierarchical clustering, and Fuzzy C-means clustering) and characteristics interpretation with statistical analysis. A total of 1279 subjects and 9 variables were selected for clustering after the data pre-possessing stage. Using feature extraction with the t-SNE and the K-means clustering algorithm, subjects were clustered into low, intermediate A, intermediate B and high fall risk groups which corresponded with fall occurrence of 13%, 19%, 21% and 31% respectively. Slower gait, poorer balance, weaker muscle strength, presence of cardiovascular disorder, poorer cognitive performance, and advancing age were the key variables identified. The proposed fall risk clustering algorithm grouped the subjects according to features. Such a tool could serve as a case identification or clinical decision support tool for clinical practice to enhance access to falls prevention efforts.Falls are common and often lead to serious physical and psychological consequences for older persons. The occurrence of falls are usually attributed to the interaction between multiple risk factors. The clinical evaluation of falls risks is time-consuming as a result, hence limiting its availability. The purpose of this study was, therefore, to develop a clustering-based algorithm to determine falls risk. Data from the Malaysian Elders Longitudinal Research (MELoR), comprising 1411 subjects aged ≥55 years, were utilized. The proposed algorithm was developed through the stages of: data pre-processing, feature identification and extraction with either t-Distributed Stochastic Neighbour Embedding (t-SNE) or principal component analysis (PCA)), clustering (K-means clustering, Hierarchical clustering, and Fuzzy C-means clustering) and characteristics interpretation with statistical analysis. A total of 1279 subjects and 9 variables were selected for clustering after the data pre-possessing stage. Using feature extraction with the t-SNE and the K-means clustering algorithm, subjects were clustered into low, intermediate A, intermediate B and high fall risk groups which corresponded with fall occurrence of 13%, 19%, 21% and 31% respectively. Slower gait, poorer balance, weaker muscle strength, presence of cardiovascular disorder, poorer cognitive performance, and advancing age were the key variables identified. The proposed fall risk clustering algorithm grouped the subjects according to features. Such a tool could serve as a case identification or clinical decision support tool for clinical practice to enhance access to falls prevention efforts.
Audience	Academic
Author	Tan, Maw Pin Kwan, Ban-Hoe Goh, Choon-Hian Wong, Kam Kang Ng, Siew-Cheok Chuah, Yea Dat
AuthorAffiliation	3 Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia 4 Department Medical Sciences, Faculty of Healthcare and Medical Sciences, Sunway University, Bandar Sunway, Selangor, Malaysia 5 Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 Department of Mechatronics and BioMedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kajang, Selangor, Malaysia 2 Centre for Healthcare Science and Technology, Universiti Tunku Abdul Rahman, Kajang, Selangor, Malaysia 6 Department of Mechanical, Materials and Manufacturing Engineering, Faculty of Engineering, University of Nottingham Malaysia, Semenyih, Selangor, Malaysia Hefei University of Technology, CHINA
AuthorAffiliation_xml	– name: 6 Department of Mechanical, Materials and Manufacturing Engineering, Faculty of Engineering, University of Nottingham Malaysia, Semenyih, Selangor, Malaysia – name: 5 Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia – name: 2 Centre for Healthcare Science and Technology, Universiti Tunku Abdul Rahman, Kajang, Selangor, Malaysia – name: 1 Department of Mechatronics and BioMedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Kajang, Selangor, Malaysia – name: Hefei University of Technology, CHINA – name: 3 Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia – name: 4 Department Medical Sciences, Faculty of Healthcare and Medical Sciences, Sunway University, Bandar Sunway, Selangor, Malaysia
Author_xml	– sequence: 1 givenname: Choon-Hian orcidid: 0000-0002-8914-8524 surname: Goh fullname: Goh, Choon-Hian – sequence: 2 givenname: Kam Kang surname: Wong fullname: Wong, Kam Kang – sequence: 3 givenname: Maw Pin surname: Tan fullname: Tan, Maw Pin – sequence: 4 givenname: Siew-Cheok surname: Ng fullname: Ng, Siew-Cheok – sequence: 5 givenname: Yea Dat orcidid: 0000-0002-8823-6936 surname: Chuah fullname: Chuah, Yea Dat – sequence: 6 givenname: Ban-Hoe orcidid: 0000-0001-7094-8612 surname: Kwan fullname: Kwan, Ban-Hoe
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/36441703$$D View this record in MEDLINE/PubMed
BookMark	eNqNk9uL1DAUxousuBf9D0QLgujDjLl0ktYHYV1vAwsL3l5Dmp50MmSaMUkH_e9NnY5Ml0UkDwmnv-9Lv0POeXbSuQ6y7DFGc0w5frV2ve-knW9TeY4I5xVj97IzXFEyYwTRk6PzaXYewhqhBS0Ze5CdUlYUmCN6lr19BzuwbruBLuZO57LLQWtQ0ewgV7YPEbzp2lza1nkTV5tcO58724DPtbQWfHiY3U-nAI_G_SL79uH916tPs-ubj8ury-uZYhWJM-ANUbyRtCRK1ZRgVEJV6aqmUEoKlYICASyQojWUigFgpBlVtUpyqiihF9nTve_WuiDG-EEQXqCyQAgViVjuicbJtdh6s5H-l3DSiD8F51shfTTKguAU1RWhJUcVLpRCUlO2aAqsNWaScJq83oy39fUGGpX646WdmE6_dGYlWrcTFUcFw2UyeDEaePejhxDFxgQF1soOXL__7wojRoZkz26hd6cbqVamAKbTLt2rBlNxyUmJC0aqgZrfQaXVwMao9Fa0SfWJ4OVEkJgIP2Mr-xDE8svn_2dvvk_Z50fsCqSNq-BsH43rwhR8ctzpvy0-PNIEvN4DyrsQPGihTJSDT4pmrMBIDBNxaJoYJkKME5HExS3xwf-fst9ebg7W
CitedBy_id	crossref_primary_10_3390_s24051427
Cites_doi	10.1136/bmjopen-2017-019579 10.1186/s12859-019-3027-7 10.1109/ICGTSPICC.2016.7955260 10.1016/j.apmr.2005.03.004 10.1093/bioinformatics/btm344 10.1111/coin.12377 10.1007/s41999-019-00162-8 10.1590/S1413-35552012005000041 10.1515/JISYS.2004.13.3.249 10.1007/978-3-642-30157-5_45 10.1109/ICCSA.2019.000-1 10.1080/09638280410001704304 10.1016/j.jamda.2012.03.009 10.23915/distill.00002 10.1016/j.compbiomed.2005.04.003 10.17700/jai.2015.6.3.196 10.1093/ptj/80.9.896 10.1016/S0895-4356(01)00349-3 10.1111/j.1532-5415.2005.00580.x 10.1111/j.1532-5415.2004.52366.x 10.1007/s40471-019-00211-7 10.1111/j.1365-2648.2006.04061.x 10.1186/s12877-018-0779-2 10.1136/ip.2004.005835
ContentType	Journal Article
Copyright	Copyright: © 2022 Goh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. COPYRIGHT 2022 Public Library of Science 2022 Goh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2022 Goh et al 2022 Goh et al
Copyright_xml	– notice: Copyright: © 2022 Goh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. – notice: COPYRIGHT 2022 Public Library of Science – notice: 2022 Goh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2022 Goh et al 2022 Goh et al
DBID	AAYXX CITATION CGR CUY CVF ECM EIF NPM IOV ISR 3V. 7QG 7QL 7QO 7RV 7SN 7SS 7T5 7TG 7TM 7U9 7X2 7X7 7XB 88E 8AO 8C1 8FD 8FE 8FG 8FH 8FI 8FJ 8FK ABJCF ABUWG AEUYN AFKRA ARAPS ATCPS AZQEC BBNVY BENPR BGLVJ BHPHI C1K CCPQU D1I DWQXO FR3 FYUFA GHDGH GNUQQ H94 HCIFZ K9. KB. KB0 KL. L6V LK8 M0K M0S M1P M7N M7P M7S NAPCQ P5Z P62 P64 PATMY PDBOC PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PTHSS PYCSY RC3 7X8 5PM DOA
DOI	10.1371/journal.pone.0277966
DatabaseName	CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Opposing Viewpoints Gale In Context: Science ProQuest Central (Corporate) Animal Behavior Abstracts Bacteriology Abstracts (Microbiology B) Biotechnology Research Abstracts Nursing & Allied Health Database Ecology Abstracts Entomology Abstracts (Full archive) Immunology Abstracts Meteorological & Geoastrophysical Abstracts Nucleic Acids Abstracts Virology and AIDS Abstracts Agricultural Science Collection Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Pharma Collection Public Health Database Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection ProQuest Natural Science Journals Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) Materials Science & Engineering Collection ProQuest Central (Alumni) One Sustainability ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest : Agricultural & Environmental Science Collection [unlimited simultaneous users] ProQuest Central Essentials Biological Science Collection ProQuest Central Technology Collection ProQuest Natural Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Materials Science Collection ProQuest Central Engineering Research Database Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student AIDS and Cancer Research Abstracts SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) ProQuest Materials Science Database (NC LIVE) Nursing & Allied Health Database (Alumni Edition) Meteorological & Geoastrophysical Abstracts - Academic ProQuest Engineering Collection Biological Sciences Agricultural Science Database ProQuest Health & Medical Collection ProQuest Medical Database Algology Mycology and Protozoology Abstracts (Microbiology C) Biological Science Database Engineering Database Nursing & Allied Health Premium Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection Biotechnology and BioEngineering Abstracts Environmental Science Database Materials Science Collection ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition Engineering Collection Environmental Science Collection Genetics Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals
DatabaseTitle	CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Agricultural Science Database Publicly Available Content Database ProQuest Central Student ProQuest Advanced Technologies & Aerospace Collection ProQuest Central Essentials Nucleic Acids Abstracts SciTech Premium Collection Environmental Sciences and Pollution Management ProQuest One Applied & Life Sciences ProQuest One Sustainability Health Research Premium Collection Meteorological & Geoastrophysical Abstracts Natural Science Collection Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) Engineering Collection Advanced Technologies & Aerospace Collection Engineering Database Virology and AIDS Abstracts ProQuest Biological Science Collection ProQuest One Academic Eastern Edition Agricultural Science Collection ProQuest Hospital Collection ProQuest Technology Collection Health Research Premium Collection (Alumni) Biological Science Database Ecology Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Environmental Science Collection Entomology Abstracts Nursing & Allied Health Premium ProQuest Health & Medical Complete ProQuest One Academic UKI Edition Environmental Science Database ProQuest Nursing & Allied Health Source (Alumni) Engineering Research Database ProQuest One Academic Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New) Technology Collection Technology Research Database ProQuest One Academic Middle East (New) Materials Science Collection ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection ProQuest Central ProQuest Health & Medical Research Collection Genetics Abstracts ProQuest Engineering Collection Biotechnology Research Abstracts Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Bacteriology Abstracts (Microbiology B) Algology Mycology and Protozoology Abstracts (Microbiology C) Agricultural & Environmental Science Collection AIDS and Cancer Research Abstracts Materials Science Database ProQuest Materials Science Collection ProQuest Public Health ProQuest Nursing & Allied Health Source ProQuest SciTech Collection Advanced Technologies & Aerospace Database ProQuest Medical Library Animal Behavior Abstracts Materials Science & Engineering Collection Immunology Abstracts ProQuest Central (Alumni) MEDLINE - Academic
DatabaseTitleList	CrossRef MEDLINE MEDLINE - Academic Agricultural Science Database
Database_xml	– sequence: 1 dbid: DOA name: DOAJ Open Access Full Text 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	Sciences (General)
DocumentTitleAlternate	Development of an effective clustering algorithm for older fallers
EISSN	1932-6203
ExternalDocumentID	2740840004 oai_doaj_org_article_730b923870914cc0af365d41ff16a273 PMC9704618 A728146294 36441703 10_1371_journal_pone_0277966
Genre	Research Support, Non-U.S. Gov't Journal Article
GeographicLocations	Malaysia
GeographicLocations_xml	– name: Malaysia
GrantInformation_xml	– fundername: ; grantid: MELOR,UM.C/625/1/HIR/MOHE/ARTS/02 – fundername: ; grantid: (UTAR) (IPSR/RMC/UTARRF/2020-C1/G01)
GroupedDBID	--- 123 29O 2WC 53G 5VS 7RV 7X2 7X7 7XC 88E 8AO 8C1 8CJ 8FE 8FG 8FH 8FI 8FJ A8Z AAFWJ AAUCC AAWOE AAYXX ABDBF ABIVO ABJCF ABUWG ACCTH ACGFO ACIHN ACIWK ACPRK ACUHS ADBBV AEAQA AENEX AEUYN AFFHD AFKRA AFPKN AFRAH AHMBA ALMA_UNASSIGNED_HOLDINGS AOIJS APEBS ARAPS ATCPS BAIFH BAWUL BBNVY BBTPI BCNDV BENPR BGLVJ BHPHI BKEYQ BPHCQ BVXVI BWKFM CCPQU CITATION CS3 D1I D1J D1K DIK DU5 E3Z EAP EAS EBD EMOBN ESX EX3 F5P FPL FYUFA GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE IAO IEA IGS IHR IHW INH INR IOV IPY ISE ISR ITC K6- KB. KQ8 L6V LK5 LK8 M0K M1P M48 M7P M7R M7S M~E NAPCQ O5R O5S OK1 OVT P2P P62 PATMY PDBOC PHGZM PHGZT PIMPY PJZUB PPXIY PQGLB PQQKQ PROAC PSQYO PTHSS PV9 PYCSY RNS RPM RZL SV3 TR2 UKHRP WOQ WOW ~02 ~KM 3V. ADRAZ ALIPV BBORY CGR CUY CVF ECM EIF IPNFZ NPM RIG 7QG 7QL 7QO 7SN 7SS 7T5 7TG 7TM 7U9 7XB 8FD 8FK AZQEC C1K DWQXO ESTFP FR3 GNUQQ H94 K9. KL. M7N P64 PKEHL PQEST PQUKI RC3 7X8 PUEGO 5PM AAPBV ABPTK
ID	FETCH-LOGICAL-c692t-e7d2c7da382ccb32108e99f9b3e8a3e9ce40ee50c3be8c6ee10f63cbcc693c323
IEDL.DBID	7RV
ISICitedReferencesCount	1
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000925006300071&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1932-6203
IngestDate	Sun Oct 01 00:11:45 EDT 2023 Fri Oct 03 12:39:23 EDT 2025 Tue Nov 04 02:07:28 EST 2025 Thu Oct 02 09:14:59 EDT 2025 Tue Oct 07 08:01:51 EDT 2025 Sat Nov 29 12:58:41 EST 2025 Sat Nov 29 10:18:18 EST 2025 Wed Nov 26 09:38:21 EST 2025 Wed Nov 26 09:46:55 EST 2025 Thu May 22 21:08:44 EDT 2025 Wed Feb 19 02:25:01 EST 2025 Sat Nov 29 05:48:26 EST 2025 Tue Nov 18 22:44:17 EST 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	11
Language	English
License	Copyright: © 2022 Goh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Creative Commons Attribution License
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c692t-e7d2c7da382ccb32108e99f9b3e8a3e9ce40ee50c3be8c6ee10f63cbcc693c323
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Competing Interests: The authors have declared that no competing interests exist.
ORCID	0000-0002-8823-6936 0000-0002-8914-8524 0000-0001-7094-8612
OpenAccessLink	https://www.proquest.com/docview/2740840004?pq-origsite=%requestingapplication%
PMID	36441703
PQID	2740840004
PQPubID	1436336
PageCount	e0277966
ParticipantIDs	plos_journals_2740840004 doaj_primary_oai_doaj_org_article_730b923870914cc0af365d41ff16a273 pubmedcentral_primary_oai_pubmedcentral_nih_gov_9704618 proquest_miscellaneous_2740910622 proquest_journals_2740840004 gale_infotracmisc_A728146294 gale_infotracacademiconefile_A728146294 gale_incontextgauss_ISR_A728146294 gale_incontextgauss_IOV_A728146294 gale_healthsolutions_A728146294 pubmed_primary_36441703 crossref_citationtrail_10_1371_journal_pone_0277966 crossref_primary_10_1371_journal_pone_0277966
PublicationCentury	2000
PublicationDate	2022-11-28
PublicationDateYYYYMMDD	2022-11-28
PublicationDate_xml	– month: 11 year: 2022 text: 2022-11-28 day: 28
PublicationDecade	2020
PublicationPlace	United States
PublicationPlace_xml	– name: United States – name: San Francisco – name: San Francisco, CA USA
PublicationTitle	PloS one
PublicationTitleAlternate	PLoS One
PublicationYear	2022
Publisher	Public Library of Science Public Library of Science (PLoS)
Publisher_xml	– name: Public Library of Science – name: Public Library of Science (PLoS)
References	Z Cebeci (pone.0277966.ref027) 2015; 6 S Khalid (pone.0277966.ref011) 2019; 6 JA Stevens (pone.0277966.ref002) 2005; 11 Y Saeys (pone.0277966.ref023) 2007; 23 L. Derksen (pone.0277966.ref025) 2019 A Tromp (pone.0277966.ref006) 2001; 54 ZM Hira (pone.0277966.ref009) 2015 D Alex (pone.0277966.ref014) 2018; 8 J Verghese (pone.0277966.ref036) 2006; 54 J Whitney (pone.0277966.ref007) 2012; 13 L Seppala (pone.0277966.ref038) 2019; 10 H Motoda (pone.0277966.ref010) 2002; 5 Horton K. Gender (pone.0277966.ref008) 2007; 57 B Williams (pone.0277966.ref031) 2017 Springer (pone.0277966.ref024) 2016 pone.0277966.ref004 C-H Goh (pone.0277966.ref015) 2017; 96 C Benfares (pone.0277966.ref037) 2021; 37 MR Lin (pone.0277966.ref032) 2004; 52 S Panda (pone.0277966.ref026) 2012 N-P Yang (pone.0277966.ref034) 2018; 18 K. Shihab (pone.0277966.ref018) 2004; 13 JI Thomas (pone.0277966.ref033) 2005; 86 LZ Rubenstein (pone.0277966.ref003) 2006; 90 pone.0277966.ref013 MD Miller (pone.0277966.ref035) 2003; 60 L Van der Maaten (pone.0277966.ref021) 2008; 9 T Sieri (pone.0277966.ref001) 2004; 26 JD Álvarez (pone.0277966.ref012) 2019; 20 MA Malarvizhi (pone.0277966.ref022) 2018; 119 TS Alexandre (pone.0277966.ref029) 2012; 16 C Pfortmueller (pone.0277966.ref005) 2014; 105 M Wattenberg (pone.0277966.ref020) 2016; 1 A Shumway-Cook (pone.0277966.ref028) 2000; 80 C-H Goh (pone.0277966.ref016) 2016; 95 I Pratama (pone.0277966.ref030) 2018 J Fortin (pone.0277966.ref017) 2006; 36 pone.0277966.ref019
References_xml	– ident: pone.0277966.ref004 – volume: 96 issue: 42 year: 2017 ident: pone.0277966.ref015 article-title: Standing beat-to-beat blood pressure variability is reduced among fallers in the Malaysian Elders Longitudinal Study publication-title: Medicine – volume: 8 start-page: e019579 issue: 7 year: 2018 ident: pone.0277966.ref014 article-title: Cross-sectional analysis of ethnic differences in fall prevalence in urban dwellers aged 55 years and over in the Malaysian Elders Longitudinal Research study publication-title: BMJ Open doi: 10.1136/bmjopen-2017-019579 – volume: 20 start-page: 1 issue: 1 year: 2019 ident: pone.0277966.ref012 article-title: An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders publication-title: BMC Bioinformatics doi: 10.1186/s12859-019-3027-7 – ident: pone.0277966.ref019 doi: 10.1109/ICGTSPICC.2016.7955260 – volume: 86 start-page: 1636 issue: 8 year: 2005 ident: pone.0277966.ref033 article-title: A pilot study to explore the predictive validity of 4 measures of falls risk in frail elderly patients publication-title: Archives of Physical Medicine and Rehabilitation doi: 10.1016/j.apmr.2005.03.004 – volume: 23 start-page: 2507 issue: 19 year: 2007 ident: pone.0277966.ref023 article-title: A review of feature selection techniques in bioinformatics publication-title: Bioinformatics doi: 10.1093/bioinformatics/btm344 – volume: 60 start-page: 248 issue: 4 year: 2003 ident: pone.0277966.ref035 article-title: A clinically relevant criterion for grip strength: relationship with falling in a sample of older adults. publication-title: Nutrition and Dietetics – volume: 9 issue: 11 year: 2008 ident: pone.0277966.ref021 article-title: Visualizing data using t-SNE publication-title: Journal of Machine Learning Research – volume: 37 start-page: 1619 issue: 4 year: 2021 ident: pone.0277966.ref037 article-title: A clinical support system for classification and prediction of depression using machine learning methods publication-title: Computational Intelligence doi: 10.1111/coin.12377 – volume: 10 start-page: 275 issue: 2 year: 2019 ident: pone.0277966.ref038 article-title: EuGMS task and finish group on fall-risk-increasing drugs (FRIDs): position on knowledge dissemination, management, and future research publication-title: European Geriatric Medicine. doi: 10.1007/s41999-019-00162-8 – volume: 16 start-page: 381 issue: 5 year: 2012 ident: pone.0277966.ref029 article-title: Accuracy of Timed Up and Go Test for screening risk of falls among community-dwelling elderly publication-title: Brazilian Journal of Physical Therapy doi: 10.1590/S1413-35552012005000041 – volume: 13 start-page: 249 issue: 3 year: 2004 ident: pone.0277966.ref018 article-title: Improving clustering performance by using feature selection and extraction techniques publication-title: Journal of Intelligent Systems doi: 10.1515/JISYS.2004.13.3.249 – volume: 90 start-page: 807 issue: 5 year: 2006 ident: pone.0277966.ref003 article-title: Falls and their prevention in elderly people: what does the evidence show? publication-title: Medical Clinics – start-page: 451 volume-title: Advances in Computer Science, Engineering & Applications year: 2012 ident: pone.0277966.ref026 doi: 10.1007/978-3-642-30157-5_45 – ident: pone.0277966.ref013 doi: 10.1109/ICCSA.2019.000-1 – volume: 26 start-page: 718 issue: 12 year: 2004 ident: pone.0277966.ref001 article-title: Fall risk assessment in very old males and females living in nursing homes publication-title: Disability and Rehabilitation doi: 10.1080/09638280410001704304 – volume: 13 start-page: 535 issue: 6 year: 2012 ident: pone.0277966.ref007 article-title: Understanding risk of falls in people with cognitive impairment living in residential care publication-title: Journal of the American Medical Directors Association doi: 10.1016/j.jamda.2012.03.009 – volume: 1 start-page: e2 issue: 10 year: 2016 ident: pone.0277966.ref020 article-title: How to use t-SNE effectively. publication-title: Distill doi: 10.23915/distill.00002 – volume: 105 start-page: 275 issue: 4 year: 2014 ident: pone.0277966.ref005 article-title: Reducing fall risk in the elderly: risk factors and fall prevention, a systematic review publication-title: Minerva Medica – volume: 36 start-page: 941 issue: 9 year: 2006 ident: pone.0277966.ref017 article-title: Continuous non-invasive blood pressure monitoring using concentrically interlocking control loops publication-title: Computers in Biology and Medicine doi: 10.1016/j.compbiomed.2005.04.003 – volume: 6 start-page: 13 issue: 3 year: 2015 ident: pone.0277966.ref027 article-title: Comparison of k-means and fuzzy c-means algorithms on different cluster structures publication-title: Journal of Agricultural Informatics doi: 10.17700/jai.2015.6.3.196 – volume: 5 start-page: 2 issue: 67–72 year: 2002 ident: pone.0277966.ref010 article-title: Feature selection, extraction and construction publication-title: Communication of IICM (Institute of Information and Computing Machinery, Taiwan) – year: 2016 ident: pone.0277966.ref024 article-title: editors. t-SNE based visualisation and clustering of geological domain publication-title: International Conference on Neural Information Processing – volume: 80 start-page: 896 issue: 9 year: 2000 ident: pone.0277966.ref028 article-title: Predicting the probability for falls in community-dwelling older adults using the Timed Up & Go Test. publication-title: Physical Therapy doi: 10.1093/ptj/80.9.896 – volume: 54 start-page: 837 issue: 8 year: 2001 ident: pone.0277966.ref006 article-title: Fall-risk screening test: a prospective study on predictors for falls in community-dwelling elderly publication-title: Journal of Clinical Epidemiology doi: 10.1016/S0895-4356(01)00349-3 – start-page: 2015 year: 2015 ident: pone.0277966.ref009 article-title: A review of feature selection and feature extraction methods applied on microarray data publication-title: Advances in Bioinformatics – volume: 54 start-page: 255 issue: 2 year: 2006 ident: pone.0277966.ref036 article-title: Epidemiology of gait disorders in community‐residing older adults publication-title: Journal of the American Geriatrics Society doi: 10.1111/j.1532-5415.2005.00580.x – volume: 52 start-page: 1343 issue: 8 year: 2004 ident: pone.0277966.ref032 article-title: Psychometric comparisons of the timed up and go, one‐leg stand, functional reach, and Tinetti balance measures in community‐dwelling older people publication-title: Journal of the American Geriatrics Society doi: 10.1111/j.1532-5415.2004.52366.x – year: 2019 ident: pone.0277966.ref025 article-title: Visualising high-dimensional datasets using PCA and t-SNE in Python publication-title: Medium – volume: 119 start-page: 16255 issue: 12 year: 2018 ident: pone.0277966.ref022 article-title: Data mining’s role in mining medical datasets for disease assessments–a case study publication-title: International Journal of Pure and Applied Mathematics – year: 2018 ident: pone.0277966.ref030 article-title: Correlation between hand grip strength and functional mobility in elderly patients publication-title: Journal of Physics: Conference Series – volume: 6 start-page: 364 issue: 3 year: 2019 ident: pone.0277966.ref011 article-title: Machine Learning for Feature Selection and Cluster Analysis in Drug Utilisation Research publication-title: Current Epidemiology Reports doi: 10.1007/s40471-019-00211-7 – volume: 95 issue: 19 year: 2016 ident: pone.0277966.ref016 article-title: Evaluation of two new indices of blood pressure variability using postural change in older fallers publication-title: Medicine – start-page: 2017 year: 2017 ident: pone.0277966.ref031 article-title: Real-time fall risk assessment using functional reach test publication-title: International Journal of Telemedicine and Applications – volume: 57 start-page: 69 issue: 1 year: 2007 ident: pone.0277966.ref008 article-title: the risk of falling: a sociological approach publication-title: Journal of Advanced Nursing doi: 10.1111/j.1365-2648.2006.04061.x – volume: 18 start-page: 90 issue: 1 year: 2018 ident: pone.0277966.ref034 article-title: Relationship between muscle strength and fall episodes among the elderly: the Yilan study, Taiwan. publication-title: BMC Geriatrics doi: 10.1186/s12877-018-0779-2 – volume: 11 start-page: 115 issue: 2 year: 2005 ident: pone.0277966.ref002 article-title: Gender differences for non-fatal unintentional fall related injuries among older adults. publication-title: Injury Prevention doi: 10.1136/ip.2004.005835
SSID	ssj0053866
Score	2.4115689
Snippet	Falls are common and often lead to serious physical and psychological consequences for older persons. The occurrence of falls are usually attributed to the...
SourceID	plos doaj pubmedcentral proquest gale pubmed crossref
SourceType	Open Website Open Access Repository Aggregation Database Index Database Enrichment Source
StartPage	e0277966
SubjectTerms	Aged Aged, 80 and over Algorithms Analysis Balance Biology and Life Sciences Clinical decision making Clinical medicine Cluster Analysis Clustering Cognitive ability Data collection Datasets Decision support systems Embedding Falls Falls (Accidents) Feature extraction Feature selection Gait Health aspects Health risks Hospitals Humans Hypothesis testing Medicine and Health Sciences Missing data Muscle Strength Older people Physical Sciences Physiological aspects Principal Component Analysis Principal components analysis Research and Analysis Methods Risk analysis Risk Factors Risk groups Statistical analysis Stochasticity Vector quantization
SummonAdditionalLinks	– databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELbQigMXRHk1UMAgJOCQNrEdP44togIJFcRLvVmJY7crLclqs8vvZybxhg2qVA5c1-No9_O8vJn5hpCXhVShKphIIbryVJRwYa2CEmmusyIwGSAn6XlmP6qzM31-bj7vjPrCmrCBHngA7gg0sIIkBNTK5MK5rAxcFrXIQ8hlCbEXvW-mzPYyNfhgsGIpY6McV_lRPJfDZdv4Q3xraXpWxD-BqOfrH73ybLlou6tSzr8rJ3dC0ekdcjvmkPR4-O575IZv7pK9aKUdfR2ppN_cIyc7NUG0DbRs6FDAAT6OusUGWRIgdtFycdGu5uvLnxRyWNri5G4acMrKqrtPvp---_b2fRqnJqROGrZOvaqZU3XJNXOuwhYd7Y0JpuJel9wb50XmfZE5XnntpPd5FiR3lYPt3HHGH5BZAzjtE6qFUMGJwvMsCHiUBrzr3GWYBMjA64TwLYTWRUpxnGyxsP17MgVXiwERi8DbCHxC0nHXcqDUuEb-BE9nlEVC7P4DUBMb1cRepyYJeYZna4fu0tGs7bFi-CcoMyIhL3oJJMVosOrmotx0nf3w6cc_CH39MhF6FYVCC3C4MnY6wG9Csq2J5MFEEkzbTZb3URO3qHSWKZHBjRwcG-zcaufVy8_HZXwoVtI1vt0MMpAiSsYS8nBQ5hFZjskxhICEqImaT6CfrjTzy56T3Chk7teP_sdZPSa3GDaZ5HnK9AGZrVcb_4TcdL_W8271tDf0352RVjQ priority: 102 providerName: Directory of Open Access Journals – databaseName: Public Library of Science (PLoS) Journals Open Access dbid: FPL link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1Lb9QwELZg4cCFUl5NKWAQEnBISWzHdo4tYgVSVSpe6s1KHLtdaUlWm11-PzOJNzRVK-C6HkfOZB6f1zOfCXmVSeXLjIkYsiuPRQEb1tIrEac6yTyTHjBJxzN7pI6P9elpfvJno3jpBJ-r9F3Q6f6iqd0-njgCQL9JbjEuJW62pidHm8gLvitlaI-7buYo_XQs_UMsnizmTXsV0LxcL3khAU23_nfp98jdADXpQW8b2-SGq--T7eDMLX0TGKffPiCHF0qHaONpUdO-zgNCIbXzNZIpQIqjxfysWc5W5z8pQF3a4AXf1ONlLMv2Ifk-_fDt_cc4XK4QW5mzVexUxayqCq6ZtSV28miX5z4vudMFd7l1InEuSywvnbbSuTTxktvSwnRuOeOPyKSG99ohVAuhvBWZ44kX8CgNkKhKbYJYQXpeRYRvdG5sYB7HCzDmpjtOU7AD6TViUFEmKCoi8TBr0TNv_EX-ED_nIIu82d0P8EVMcEMD8awESAtBKk-FtUnhucwqkXqfygKWHZHnaAymb0IdvN8cKIb_lbJcRORlJ4HcGTUW55wV67Y1nz7_-Aehr19GQq-DkG9AHbYIDRHwTsjJNZLcG0lCBLCj4R003Y1WWsOUSGDjDvEPZm7M-erhF8MwPhQL7mrXrHsZQJKSsYg87q1_0CxHDA2ZIiJq5Bcj1Y9H6tl5R12eKyT417vXr_gJucOwwyRNY6b3yGS1XLun5Lb9tZq1y2edv_8GQuFTtw priority: 102 providerName: Public Library of Science
Title	Development of an effective clustering algorithm for older fallers
URI	https://www.ncbi.nlm.nih.gov/pubmed/36441703 https://www.proquest.com/docview/2740840004 https://www.proquest.com/docview/2740910622 https://pubmed.ncbi.nlm.nih.gov/PMC9704618 https://doaj.org/article/730b923870914cc0af365d41ff16a273 http://dx.doi.org/10.1371/journal.pone.0277966
Volume	17
WOSCitedRecordID	wos000925006300071&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: PRVAON databaseName: DOAJ Open Access Full Text customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: DOA dateStart: 20060101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: M~E dateStart: 20060101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: P5Z dateStart: 20061201 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Agricultural Science Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: M0K dateStart: 20061201 isFulltext: true titleUrlDefault: https://search.proquest.com/agriculturejournals providerName: ProQuest – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: M7P dateStart: 20061201 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: M7S dateStart: 20061201 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: Environmental Science Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: PATMY dateStart: 20061201 isFulltext: true titleUrlDefault: http://search.proquest.com/environmentalscience providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: 7X7 dateStart: 20061201 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: Nursing & Allied Health Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: 7RV dateStart: 20061201 isFulltext: true titleUrlDefault: https://search.proquest.com/nahs providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: BENPR dateStart: 20061201 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Materials Science Database (NC LIVE) customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: KB. dateStart: 20061201 isFulltext: true titleUrlDefault: http://search.proquest.com/materialsscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Public Health Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: 8C1 dateStart: 20061201 isFulltext: true titleUrlDefault: https://search.proquest.com/publichealth providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: PIMPY dateStart: 20061201 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVATS databaseName: Public Library of Science (PLoS) Journals Open Access customDbUrl: eissn: 1932-6203 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0053866 issn: 1932-6203 databaseCode: FPL dateStart: 20060101 isFulltext: true titleUrlDefault: http://www.plos.org/publications/ providerName: Public Library of Science
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3db9MwELeg44EXYHwtMEpASMBDusROYucJrdMqpm0l6mAqvESJY3eTSlKalr-fu8TNFjQBEi_3UJ_T5O58Ptvn3xHyJgi5zgLqOzC7MsdPYcGaae47nnADTUMNMUmNM3vCx2MxnUax2XCrTFrlxifWjjovJe6R78HqyYXFCOj0w-KHg1Wj8HTVlNC4TbY8jI3BnvnkfOOJYSyHobkux7i3Z7QzWJSFGuDZZVRjI15NRzVqf-ube4t5Wd0UeP6eP3ltQhrd_99PeUDumVDU3m9sZ5vcUsVDsm0Ge2W_M4jU7x-R4bXUIrvUdlrYTR4IuEpbztcItgBToJ3OZ_A_q4vvNoTCdokFwG2NxVqW1WPyZXT4-eCjY4ovODKM6MpRPKeS5ykTVMoMb_oIFUU6ypgSKVORVL6rVOBKlikhQ6U8V4dMZhK6M8koe0J6BQh6h9jC97mWfqCYq314lICQKfeki7FEqFluEbbRQSINMjkWyJgn9XEbhxVKI5EENZcYzVnEaXstGmSOv_APUb0tL-Jq1z-Uy1lihmkC_i6DkBecWOT5UrqpZmGQ-57WXpjCa1vkJRpH0lxSbb1Dss8p7qXSyLfI65oDsTUKTN6ZpeuqSo4-nf8D09mkw_TWMOkSxCFTc2ECvgkxuzqcux1O8BCy07yDpryRSpVcGSD03Jjozc2v2mZ8KCbkFapcNzwQaYaUWuRpMxpayTKMsWEmsQjvjJOO6LstxeVFDW0ecSwAIJ79-bWek7sUb6F4nkPFLumtlmv1gtyRP1eX1bJf-wCkU15TAVQceH2yNTwcx5N-ve0CdBSfAD0eDoCeusdIeVzTM6Bx8A16xEen8ddfG41x5g
linkProvider	ProQuest
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwELaqBQkuQHk1UKhBIOCQNrEdOzkg1AJVqy5LBQVVXELi2NtKS7JsdkH8KX4jM3m1QRVw6YFrPI7i8cw343gehDwKpLJpwIQL1pW7IoEDa2qVcP3QCyyTFnySqs7sUI1G4eFhtL9Efra5MBhW2WJiBdRZofEf-Qacnjw4jMCevph-dbFrFN6uti00arHYMz--w5GtfL77Cvb3MWPbrw9e7rhNVwFXy4jNXaMyplWW8JBpnWIKS2iiyEYpN2HCTaSN8IwJPM1TE2ppjO9ZyXWqYTrXHAsdAORfEIJ5qEX7wacW-QE7pGzS87jyNxppWJ8WuVnHu9KoqsV4Yv6qLgGdLRhMJ0V5lqP7e7zmKQO4ffV_Y901cqVxtelmrRvLZMnk18lyA2YlfdpU3H52g2ydCp2ihaVJTus4FzAFVE8WWEwCTDxNJmNY1_zoCwVXnxbY4JxabEYzK2-SD-eylltkkMPGrhAaCqGsFoHhnhXwqhBcwszXHvpK0vLMIbzd81g3ldexAcgkrq4TFZzAao7EKClxIykOcbtZ07ryyF_ot1CcOlqsG149KGbjuIGhGPA8BZceQDryhdZeYrkMMuFb68sEPtshayiMcZ2E26FfvKkY_itmkXDIw4oCa4fkGJw0ThZlGe--_fgPRO_f9YieNES2AHbopEkIgTVhTbIe5WqPEhBQ94ZXUHVarpTxicDDzFYlzh5-0A3jSzHgMDfFoqYBT1oy5pDbtfZ1nOV4hgBL6RDV08se6_sj-fFRVbo9UtjgILzz589aI5d2Dt4M4-HuaO8uucww48b3XRauksF8tjD3yEX9bX5czu5X-EPJ5_PW2l_dBcVc
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwELaqBSEuQHk1UKhBIOCQbmI7cXJAqKWsWLVaVrxUcQmJY28rLcmy2QXx1_h1zCTOtkEVcOmBazyO4vE84_E3hDwKQmmygAkXvCt3RQoJa2akcP3ICwwLDcQkNc7sgRyNosPDeLxGfrZ3YbCssrWJtaHOS4X_yPuQPXmQjMCe9o0tixjvDV7MvrrYQQpPWtt2Go2I7Osf3yF9q54P92CvHzM2ePX-5WvXdhhwVRizhatlzpTMUx4xpTK8zhLpODZxxnWUch0rLTytA0_xTEcq1Nr3TMhVpmA6VxxBD8D8X5CQY2I54Tj41HoBsCNhaK_qcen3rWRsz8pCb-O5aVzjMp64wrpjwMov9GbTsjor6P29dvOUMxxc_Z_ZeI1csSE43Wl0Zp2s6eI6WbdGrqJPLRL3sxtk91RJFS0NTQva1L-Ai6BqukSQCXD9NJ1OYF2Loy8UUgBaYuNzarBJzby6ST6cy1pukV4Bm7xBaCSENEoEmntGwKsiCBVzX3kYQ4WG5w7h7f4nyiKyY2OQaVIfM0rIzBqOJCg1iZUah7irWbMGkeQv9LsoWitaxBOvH5TzSWLNUwJ2PoNQH4x37AulvNTwMMiFb4wfpvDZDtlCwUyay7krq5jsSIb_kFksHPKwpkBMkQLFapIuqyoZvvn4D0Tv3naInlgiUwI7VGovisCaEKusQ7nZoQTLqDrDG6hGLVeq5ET4YWarHmcPP1gN40uxELHQ5bKhgQg7ZMwhtxtNXHGWY24BHtQhsqOjHdZ3R4rjoxrSPZbY-CC68-fP2iKXQFmTg-Fo_y65zPAiju-7LNokvcV8qe-Ri-rb4ria369NESWfz1tpfwF4DM4m
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=Development+of+an+effective+clustering+algorithm+for+older+fallers&rft.jtitle=PloS+one&rft.au=Goh%2C+Choon-Hian&rft.au=Wong%2C+Kam+Kang&rft.au=Tan%2C+Maw+Pin&rft.au=Ng%2C+Siew-Cheok&rft.date=2022-11-28&rft.eissn=1932-6203&rft.volume=17&rft.issue=11&rft.spage=e0277966&rft_id=info:doi/10.1371%2Fjournal.pone.0277966&rft_id=info%3Apmid%2F36441703&rft.externalDocID=36441703
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1932-6203&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1932-6203&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1932-6203&client=summon