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TRV-2026-1070Certified recordPeer-reviewed

Machine learning identifies depression risk in older adults with chronic diseases: Clarifying shared risk factors stratified by cognitive impairment status

Background The prevalence of depression is higher among older adults with chronic diseases and cognitive impairment than the general population. The comorbidity of cognitive impairment and chronic diseases significantly impacts the lives of these patients. This study aims to develop machine learning models to identify depression risk among older adults with chronic illnesses across different levels of cognitive impairment. Methods Data were derived from the Chinese Longitudinal Healthy Longevity Survey (n = 5798…

Health · G Space — documented gain · certified 2026-09-13 · v1 · article view · machine-readable

Current reading — gain

XGBoost models trained on 5798 participants identified depression risk among older adults with chronic diseases across cognitive impairment levels with accuracy up to 0.767 and good calibration.

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Truvace Impact Record TRV-2026-1070, v1: “Machine learning identifies depression risk in older adults with chronic diseases: Clarifying shared risk factors stratified by cognitive impairment status.” Truvace, 2026-09-13. /record/TRV-2026-1070 (accessed at citation time). sha256 09174fdf43531302…

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