Improving Depression Severity Prediction from Passive Sensing: Symptom-Profiling Approach

Improving Depression Severity Prediction from Passive Sensing: Symptom-Profiling Approach

Depression is a significant mental health issue that profoundly impacts people’s lives. Diagnosing depression often involves interviews with mental health professionals and surveys, which can become cumbersome when administered continuously. Digital phenotyping offers an innovative approach for dete...

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Bibliographic Details
Main Authors: Sabinakhon Akbarova, Myeongji Im, Suhyun Kim, Kobiljon Toshnazarov, Kyong-Mee Chung, Junghyun Chun, Youngtae Noh, Young-Ah Kim
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
digital phenotyping
smartphone sensing
depressive symptoms
machine learning
EMA
Online Access:https://www.mdpi.com/1424-8220/23/21/8866

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https://www.mdpi.com/1424-8220/23/21/8866

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