Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone

• Published in: JMIR mHealth and uHealth Vol. 7; no. 10; p. e14149
• Main Authors: Kim, Heejung, Lee, SungHee, Lee, SangEun, Hong, Soyun, Kang, HeeJae, Kim, Namhee
• Format: Journal Article
• Language: English
• Published: Canada JMIR Publications 16.10.2019
• Subjects: Antidepressants; Data collection; Data processing; Geriatrics; Machine learning; Mental depression; Mental health; Observational studies; Older people; Original Paper; Sensors; actigraphy; depression; machine learning; elderly; one-person household; ecological momentary assessment

Although geriatric depression is prevalent, diagnosis using self-reporting instruments has limitations when measuring the depressed mood of older adults in a community setting. Ecological momentary assessment (EMA) by using wearable devices could be used to collect data to classify older adults into...