Big Data Analytics for Elder Care
Articles published in 2026 in this theme: 10 (scroll down to load remaining articles)
2026
Development and Temporal External Validation of a Parsimonious, Interpretable Machine Learning Model for Predicting 6-Month Mortality in Long-Term Care Facilities: A Retrospective Cohort Study
JMIR Aging 2026 (Sep 16); 9:e94567
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Predicting Care Needs in Community-Dwelling Older Adults Using Explainable Machine Learning and a Multidimensional Approach Integrating Health, Social, and Environmental Factors: Cross-Sectional Study
JMIR Aging 2026 (Jul 31); 9:e93371
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Telehealth Use Among Older Adults Receiving Home- and Community-Based Services: Cross-Sectional Analysis Using the National Core Indicators–Aging and Disabilities Survey
JMIR Hum Factors 2026 (Jun 02); 13:e77522
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Changes in Internet Search Term Popularity in Elder Mistreatment (2018-2023): Infodemiology Study of Google Trends Data
JMIR Form Res 2026 (Apr 21); 10:e83797
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Global, Regional, and National Burden of Falls Among Older Adults Aged 65 Years and Above: Secondary Data Analysis of the Global Burden of Disease Study 2021
JMIR Aging 2026 (Apr 10); 9:e73802
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Comparative Performance of 3 Analytical Models in Identifying Associated Factors of Pulmonary Dysfunction–Depression Comorbidity: China Health and Retirement Longitudinal Study–Based Nationwide Cross-Sectional Study
JMIR Med Inform 2026 (Apr 09); 14:e77940
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Deep Learning–Based Estimated Pulmonary Biological Age From Chest Computed Tomography Images in Healthy Adults: Model Development and Validation Study
JMIR Aging 2026 (Mar 12); 9:e78243
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Ensemble Machine Learning Models for Predicting Patients With High Usage: Model Validation and Economic Impact Analysis
JMIR Med Inform 2026 (Feb 20); 14:e77202
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Demystifying Quality Metrics and Unveiling the True Measure of Quality of Care in Nursing Homes: Mixed Effects Analysis
JMIR Hum Factors 2026 (Jan 29); 13:e72770
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Development and Validation of Machine Learning Models for Predicting Falls Among Hospitalized Older Adults: Retrospective Cross-Sectional Study
JMIR Aging 2026 (Jan 05); 9:e80602
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