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

• 主要な著者: Kim, Heejung (著者), Lee, SungHee (著者), Lee, SangEun (著者), Hong, Soyun (著者), Kang, HeeJae (著者), Kim, Namhee (著者)
• フォーマット: 図書
• 出版事項: JMIR Publications, 2019-10-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

BackgroundAlthough 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 a...