Výsledky vyhľadávania - "Patient profiling"

Entering the era of precision medicine to treat amyotrophic lateral sclerosis

Autori: Frances Theunissen Loren Flynn Alfredo Iacoangeli a ďalší

Zdroj: Molecular Neurodegeneration, Vol 20, Iss 1, Pp 1-25 (2025)

Predmety: Personalised medicine, Antisense oligonucleotide, Genetics, Understanding heterogeneity, Long-read sequencing, Patient profiling, Neurology. Diseases of the nervous system, RC346-429, Geriatrics, RC952-954.6

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1750-1326

Prístupová URL adresa: https://doaj.org/article/9ccba51a7f314cc1bffbd7ae9dc775ae

Synthetic data in medicine: Legal and ethical considerations for patient profiling

Autori: Nisevic, Maja Milojevic, Dusko Spajic, Daniela

Zdroj: Comput Struct Biotechnol J
Computational and Structural Biotechnology Journal, Vol 28, Iss, Pp 190-198 (2025)

Predmety: Innovation and medicine, Biochemistry & Molecular Biology, 3101 Biochemistry and cell biology, Science & Technology, Biomedical ethics, Synthetic data, 0103 Numerical and Computational Mathematics, Short Communication, 4601 Applied computing, @citip, Biotechnology & Applied Microbiology, Patient profiling, AI Act, MDR, GDPR, Life Sciences & Biomedicine, TP248.13-248.65, 0802 Computation Theory and Mathematics, Biotechnology

Prístupová URL adresa: https://doaj.org/article/773aeee25db44098ab5c144cc3c30ece
https://lirias.kuleuven.be/handle/20.500.12942/766047
https://doi.org/10.1016/j.csbj.2025.05.026

Pitik: A Cebuano-Binisaya Intent-Based Chatbot for Cardiovascular Disease Patient Profiling and Risk Factor Recommendations

Autori: Joseph Cedeño Andrew Manteza Nicole Nacar a ďalší

Zdroj: Recoletos Multidisciplinary Research Journal, Vol 1, Iss Special Issue, Pp 63-75 (2025)

Predmety: Social sciences (General), H1-99, cardiovascular disease risk factor assessment, patient profiling, gricean maxims, HF5001-6182, community-based healthcare, medical chatbot, T1-995, Business, Technology (General)

Prístupová URL adresa: https://doaj.org/article/36b974c57625406cbce84fb27993f496

Allergen immunotherapy for the control of moderate to severe allergic asthma: an evidence-based conjoint analysis to define candidate patient profiles in Spain and Portugal

Autori: J. Delgado R. Cárdenas S. Gelis a ďalší

Zdroj: Frontiers in Allergy, Vol 6 (2025)

Predmety: moderate to severe allergic asthma, allergen immunotherapy, AIT, conjoint analysis, patient profiling, etiological treatment, Immunologic diseases. Allergy, RC581-607

Popis súboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/falgy.2025.1676399/full; https://doaj.org/toc/2673-6101

Prístupová URL adresa: https://doaj.org/article/391b208bd6b24d538cd3610fac8c02f8

Unveiling patient profiles associated with elevated Lp(a) through an unbiased clustering analysis

Autori: Miguel Saraiva Jonatas Garcez Beatriz Tavares da Silva a ďalší

Zdroj: Front Cardiovasc Med
Frontiers in Cardiovascular Medicine, Vol 12 (2025)

Predmety: clustering analysis, patient profiling, cardiovascular risk assessment, RC666-701, Diseases of the circulatory (Cardiovascular) system, lipoprotein(a) levels, Cardiovascular Medicine, unsupervised learning

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40182428
https://doaj.org/article/bce4d13b29824574aad53f73ef7d83b0

Patient Profiling and Outcome Assessment in Spinal Cord Stimulation for Chronic Back and/or Leg Pain (the PROSTIM study): A Study Protocol: a study protocol

Autori: Vincent Raymaekers Sacha Meeuws Lisa Goudman a ďalší

Prispievatelia: Vincent Raymaekers Sacha Meeuws Lisa Goudman a ďalší

Zdroj: Pain management

Predmety: Spinal Cord Stimulation, Leg, spinal cord stimulation, Chronic Pain/therapy, Spinal Cord Stimulation/methods, spinal cord, medial pathway, 3. Good health, Treatment Outcome, patient profiling, Spinal Cord, Low Back Pain/therapy, Outcome Assessment, Health Care, Humans, Human medicine, Prospective Studies, lateral pathway, Chronic Pain, treatment pathways, descending pain modulation, outcome assessment, Low Back Pain

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38054386
https://hdl.handle.net/10067/2021740151162165141
https://biblio.vub.ac.be/vubir/(f37050bd-ea60-4899-8bfc-de7c076fdb4f).html
http://hdl.handle.net/1942/41938

Supplementary text.

Autori: Mohammad A. Al-Mamun Ki Jin Jeun Todd Brothers a ďalší

Predmety: Medicine, Microbiology, Cell Biology, Developmental Biology, Marine Biology, Cancer, Mathematical Sciences not elsewhere classified, patient profiling algorithm, ischemic heart disease, including high cholesterol, identify patient profiles, identify clinical phenotypes, gi tract components, variable clustering methods, top three clusters, presented using comorbidities, hospital acquired aki, 876 ckd patients, 37 ), osteoarthritis, two methods, three groups, average comorbidities, aki patients, aki ), 14 ), %22">xlink ">, urgent need, several conditions, promising approach

Relation: https://figshare.com/articles/journal_contribution/Supplementary_text_/29547512

Dostupnosť: https://doi.org/10.1371/journal.pone.0310749.s006
https://figshare.com/articles/journal_contribution/Supplementary_text_/29547512

Profiling of patients with COPD for adequate referral to exercise‑based care : The Dutch Model

Autori: Spruit, Martijn A., Overig Hul,van 't, Alex, Overig Vreeken, Hilde L., Overig a ďalší

Prispievatelia: Spruit, Martijn A., Overig Hul,van 't, Alex, Overig Vreeken, Hilde L., Overig a ďalší

Zdroj: Sports Medicine. 50:1421-1429

Predmety: physical functioning, exercise-based care, chronic obstructive pulmonary disease (COPD), primary care, physiotherapy, airflow limitation, patient profiling, Dutch model, referral

Prístupová URL adresa: https://surfsharekit.nl/public/6f930509-1240-4697-a226-2be14ee232a2
https://surfsharekit.nl/objectstore/da58a045-a552-435c-bddd-4245389c1f66

Dostupnosť: http://www.hbo-kennisbank.nl/en/page/hborecord.view/?uploadId=sharekit_zuyd:oai:surfsharekit.nl:6f930509-1240-4697-a226-2be14ee232a2

The changing landscape of cardiac rehabilitation and the power of personalized therapy

Autori: Claes, Jomme Kuznetsova, Tatiana Cauwenberghs, Nicholas a ďalší

Zdroj: Front Cardiovasc Med
Frontiers in Cardiovascular Medicine, Vol 11 (2024)

Predmety: cardiovascular rehabilitation (CR), Science & Technology, Cardiac & Cardiovascular Systems, PREFERENCE, HOME-BASED EXERCISE, Cardiovascular Medicine, 3. Good health, machine learning, patient profiling, RC666-701, Cardiovascular System & Cardiology, CORONARY-ARTERY-DISEASE, Diseases of the circulatory (Cardiovascular) system, HYBRID, 3201 Cardiovascular medicine and haematology, Life Sciences & Biomedicine, hybrid cardiac rehabilitation, home-based cardiac rehabilitation

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38699581
https://doaj.org/article/32c35e3c29c74efeb323eca9066eec02

AI-guided cancer therapy for patients with coexisting migraines

Autori: Olawade, D. Teke, J. Adeleye, K. a ďalší

Predmety: Artificial intelligence (AI), Machine learning, Anticancer therapy, Patient profiling, Migraine, Personalized medicine, Predicative modelling

Relation: https://repository.canterbury.ac.uk/download/a787471c49961e753c9a607bbd1dc06db78f7a31d9ec965f46ec9d2264d1ca17/1637618/cancers-16-03690.pdf; https://doi.org/10.3390/cancers16213690

Dostupnosť: https://repository.canterbury.ac.uk/item/99y9v/ai-guided-cancer-therapy-for-patients-with-coexisting-migraines
https://doi.org/10.3390/cancers16213690

Is Mild Really Mild?: Generating Longitudinal Profiles of Stroke Survivor Impairment and Impact Using Unsupervised Machine Learning

Autori: Achini Adikari Rashmika Nawaratne Daswin De Silva a ďalší

Predmety: Health sciences, Health services and systems, mild stroke, artificial intelligence, patient profiling, unsupervised learning, personalized healthcare

Relation: https://figshare.com/articles/journal_contribution/Is_Mild_Really_Mild_Generating_Longitudinal_Profiles_of_Stroke_Survivor_Impairment_and_Impact_Using_Unsupervised_Machine_Learning/27708054

Dostupnosť: https://doi.org/10.3390/app14156800
https://figshare.com/articles/journal_contribution/Is_Mild_Really_Mild_Generating_Longitudinal_Profiles_of_Stroke_Survivor_Impairment_and_Impact_Using_Unsupervised_Machine_Learning/27708054

Using Patient Profiles To Guide The Choice Of Antihistamines In The Primary Care Setting In Malaysia: Expert Consensus And Recommendations

Autori: Baharudin Abdullah Amir Hamzah Abdul Latiff Kent Woo a ďalší

Prispievatelia: Baharudin Abdullah Amir Hamzah Abdul Latiff Kent Woo a ďalší

Zdroj: Ther Clin Risk Manag
Therapeutics and Clinical Risk Management, Vol Volume 15, Pp 1267-1275 (2019)

Predmety: 0301 basic medicine, antihistamines, Therapeutics and Clinical Risk Management, Malaysia, RM1-950, Primary care, malaysia, Expert Opinion, 01 natural sciences, 0104 chemical sciences, 3. Good health, primary care, 03 medical and health sciences, patient profiling, Patient profiling, Antihistamines, Therapeutics. Pharmacology

Popis súboru: text/html

Prístupová URL adresa: https://www.dovepress.com/getfile.php?fileID=53650
https://pubmed.ncbi.nlm.nih.gov/31802877
https://doaj.org/article/edfb65950c9f466f9727e3b9c43f64e0
https://www.dovepress.com/using-patient-profiles-to-guide-the-choice-of-antihistamines-in-the-pr-peer-reviewed-article-TCRM
https://europepmc.org/article/MED/31802877
https://www.dovepress.com/using-patient-profiles-to-guide-the-choice-of-antihistamines-in-the-pr-peer-reviewed-fulltext-article-TCRM
https://www.ncbi.nlm.nih.gov/pubmed/31802877
https://pubmed.ncbi.nlm.nih.gov/31802877/
https://www.dovepress.com/getfile.php?fileID=53650

Data-oriented approach to improve adherence to CPAP therapy during the initiation phase

Autori: Joymangul, Jensen Selwyn Sekhari, Aicha Moalla, Néjib a ďalší

Prispievatelia: Joymangul, Jensen Selwyn Sekhari, Aicha Moalla, Néjib a ďalší

Zdroj: 2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA). :1-6

Predmety: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], 03 medical and health sciences, 0302 clinical medicine, CPAP, Patient profiling, Data analytics, Homecare Personalised intervention, 3. Good health

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/skima/skima2019.html#JoymangulSMG19
https://hal.science/hal-02453236v1

Developing personalized patient profiles using machine learning techniques ; Розробка індивідуальних профілів пацієнтів на основі методів машинного навчання

Autori: Lyrchykov, V. O. Baybuz, O. H.

Zdroj: Актуальні проблеми автоматизації та інформаційних технологій; Том 27 (2023) ; Актуальные проблемы автоматизации и инфорационных технологий; Том 27 (2023) ; Actual problems of automation and information technology; Том 27 (2023) ; 2313-5301 ; 2312-119X ; 10.15421/43232701

Predmety: telemedical services, patient profiling, natural language processing, clinical notes, electronic medical records, knowledge extraction, телемедичні послуги, профілювання пацієнтів, обробка природної мови, клінічні записи, електронні медичні картки, вилучення знань

Popis súboru: application/pdf

Relation: https://actualproblems.dp.ua/index.php/APAIT/article/view/239/186; https://actualproblems.dp.ua/index.php/APAIT/article/view/239

Dostupnosť: https://actualproblems.dp.ua/index.php/APAIT/article/view/239
https://doi.org/10.15421/432314

The strongest associations of medical procedure for HA-AKI, CA-AKI, and No-AKI cohort.

Autori: Mohammad A. Al-Mamun Ki Jin Jeun Todd Brothers a ďalší

Predmety: Medicine, Microbiology, Cell Biology, Developmental Biology, Marine Biology, Cancer, Mathematical Sciences not elsewhere classified, patient profiling algorithm, ischemic heart disease, including high cholesterol, identify patient profiles, identify clinical phenotypes, gi tract components, variable clustering methods, top three clusters, presented using comorbidities, hospital acquired aki, 876 ckd patients, 37 ), osteoarthritis, two methods, three groups, average comorbidities, aki patients, aki ), 14 ), %22">xlink ">, urgent need, several conditions, promising approach

Dostupnosť: https://doi.org/10.1371/journal.pone.0310749.s001
https://figshare.com/articles/figure/The_strongest_associations_of_medical_procedure_for_HA-AKI_CA-AKI_and_No-AKI_cohort_/29547497

Dissimilarities of diagnosis among the cohorts.

Autori: Mohammad A. Al-Mamun Ki Jin Jeun Todd Brothers a ďalší

Predmety: Medicine, Microbiology, Cell Biology, Developmental Biology, Marine Biology, Cancer, Mathematical Sciences not elsewhere classified, patient profiling algorithm, ischemic heart disease, including high cholesterol, identify patient profiles, identify clinical phenotypes, gi tract components, variable clustering methods, top three clusters, presented using comorbidities, hospital acquired aki, 876 ckd patients, 37 ), osteoarthritis, two methods, three groups, average comorbidities, aki patients, aki ), 14 ), %22">xlink ">, urgent need, several conditions, promising approach

Relation: https://figshare.com/articles/dataset/Dissimilarities_of_diagnosis_among_the_cohorts_/29547529

Dostupnosť: https://doi.org/10.1371/journal.pone.0310749.t004
https://figshare.com/articles/dataset/Dissimilarities_of_diagnosis_among_the_cohorts_/29547529

Network metrics in the comorbidity network of No Acute Kidney Injury (No-AKI) vs Hospital Acquired Acute Kidney Injury (HA-AKI) and No-AKI vs Community Acquired Acute Kidney Injury (CA-AKI) among the chronic kidney disease patients.

Autori: Mohammad A. Al-Mamun Ki Jin Jeun Todd Brothers a ďalší

Predmety: Medicine, Microbiology, Cell Biology, Developmental Biology, Marine Biology, Cancer, Mathematical Sciences not elsewhere classified, patient profiling algorithm, ischemic heart disease, including high cholesterol, identify patient profiles, identify clinical phenotypes, gi tract components, variable clustering methods, top three clusters, presented using comorbidities, hospital acquired aki, 876 ckd patients, 37 ), osteoarthritis, two methods, three groups, average comorbidities, aki patients, aki ), 14 ), %22">xlink ">, urgent need, several conditions, promising approach

Dostupnosť: https://doi.org/10.1371/journal.pone.0310749.t002
https://figshare.com/articles/dataset/Network_metrics_in_the_comorbidity_network_of_No_Acute_Kidney_Injury_No-AKI_vs_Hospital_Acquired_Acute_Kidney_Injury_HA-AKI_and_No-AKI_vs_Community_Acquired_Acute_Kidney_Injury_CA-AKI_among_the_chronic_kidney_disease_patients_/29547524

Baseline characteristics of the No Acute Kidney Injury (No-AKI) vs Hospital Acquired Acute Kidney Injury (HA-AKI) and No-AKI vs Community Acquired Acute Kidney Injury (CA-AKI) among the chronic kidney disease patients.

Autori: Mohammad A. Al-Mamun Ki Jin Jeun Todd Brothers a ďalší

Predmety: Medicine, Microbiology, Cell Biology, Developmental Biology, Marine Biology, Cancer, Mathematical Sciences not elsewhere classified, patient profiling algorithm, ischemic heart disease, including high cholesterol, identify patient profiles, identify clinical phenotypes, gi tract components, variable clustering methods, top three clusters, presented using comorbidities, hospital acquired aki, 876 ckd patients, 37 ), osteoarthritis, two methods, three groups, average comorbidities, aki patients, aki ), 14 ), %22">xlink ">, urgent need, several conditions, promising approach

Dostupnosť: https://doi.org/10.1371/journal.pone.0310749.t001
https://figshare.com/articles/dataset/Baseline_characteristics_of_the_No_Acute_Kidney_Injury_No-AKI_vs_Hospital_Acquired_Acute_Kidney_Injury_HA-AKI_and_No-AKI_vs_Community_Acquired_Acute_Kidney_Injury_CA-AKI_among_the_chronic_kidney_disease_patients_/29547521

The strongest associations of medical diagnosis across the three cohorts.

Autori: Mohammad A. Al-Mamun Ki Jin Jeun Todd Brothers a ďalší

Predmety: Medicine, Microbiology, Cell Biology, Developmental Biology, Marine Biology, Cancer, Mathematical Sciences not elsewhere classified, patient profiling algorithm, ischemic heart disease, including high cholesterol, identify patient profiles, identify clinical phenotypes, gi tract components, variable clustering methods, top three clusters, presented using comorbidities, hospital acquired aki, 876 ckd patients, 37 ), osteoarthritis, two methods, three groups, average comorbidities, aki patients, aki ), 14 ), %22">xlink ">, urgent need, several conditions, promising approach

Relation: https://figshare.com/articles/figure/The_strongest_associations_of_medical_diagnosis_across_the_three_cohorts_/29547518

Dostupnosť: https://doi.org/10.1371/journal.pone.0310749.g002
https://figshare.com/articles/figure/The_strongest_associations_of_medical_diagnosis_across_the_three_cohorts_/29547518

Comparison of comorbidities across the three cohorts. Similarities were determined by comparing the best-matched clusters identified by both algorithms. The table presents the degree and betweenness values for each comorbidity within the cohorts.

Autori: Mohammad A. Al-Mamun Ki Jin Jeun Todd Brothers a ďalší

Predmety: Medicine, Microbiology, Cell Biology, Developmental Biology, Marine Biology, Cancer, Mathematical Sciences not elsewhere classified, patient profiling algorithm, ischemic heart disease, including high cholesterol, identify patient profiles, identify clinical phenotypes, gi tract components, variable clustering methods, top three clusters, presented using comorbidities, hospital acquired aki, 876 ckd patients, 37 ), osteoarthritis, two methods, three groups, average comorbidities, aki patients, aki ), 14 ), %22">xlink ">, urgent need, several conditions, promising approach

Dostupnosť: https://doi.org/10.1371/journal.pone.0310749.t003
https://figshare.com/articles/dataset/Comparison_of_comorbidities_across_the_three_cohorts_Similarities_were_determined_by_comparing_the_best-matched_clusters_identified_by_both_algorithms_The_table_presents_the_degree_and_betweenness_values_for_each_comorbidity_within_the_coho/29547527