Automatic Bipolar Disorder Assessment Using Machine Learning With Smartphone-Based Digital Phenotyping

Automatic Bipolar Disorder Assessment Using Machine Learning With Smartphone-Based Digital Phenotyping

Bipolar disorder (BD) is one of the most common mental illnesses worldwide. In this study, a smartphone application was developed to collect digital phenotyping data of users, and an ensemble method combining the results from a model pool was established through heterogeneous digital phenotyping. Th...

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Bibliographic Details
Main Authors: Chung-Hsien Wu, Jia-Hao Hsu, Cheng-Ray Liou, Hung-Yi Su, Esther Ching-Lan Lin, Po-See Chen
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Bipolar disorder
digital phenotyping
HAM-D
heterogeneous data
missing data
YMRS
Online Access:https://ieeexplore.ieee.org/document/10299670/

Internet

https://ieeexplore.ieee.org/document/10299670/

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