Prediction of depressive symptoms onset and long-term trajectories in home-based older adults using machine learning techniques.

Our aim was to explore the possibility of using machine learning (ML) in predicting the onset and trajectories of depressive symptom in home-based older adults over a 7-year period. Depressive symptom data (collected in the year 2011, 2013, 2015 and 2018) of home-based older Chinese (n = 2650) recru...

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Bibliographic Details
Published in:	Aging & Mental Health Vol. 27; no. 1; pp. 8 - 18
Main Authors:	Lin, Shaowu, Wu, Yafei, He, Lingxiao, Fang, Ya
Format:	Article
Published:	Taylor & Francis Ltd Jan2023
Subjects:	China Geriatrics & psychology Memory Cognition Sleep Mental depression Health Information resources Sociodemographic factors Old age Structural equation modeling Decision trees Support vector machines Research methodology Machine learning Random forest algorithms Risk assessment Receiver operating characteristic curves
Online Access:	View this record in EBSCOhost

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