Work

Unobtrusive monitoring of behavior and movement patterns to detect clinical depression severity level via smartphone

Year: 2020

Type: article

Source: Journal of Biomedical Informatics

DOI: 10.1016/j.jbi.2019.103371

Authors: Mohammed T. Masud, Mohammed A. Mamun, K. Thapa, D.H. Lee, Mark D. Griffiths, S.-H. Yang

Institutions: Kwangwoon University, Jahangirnagar University, Nottingham Trent University

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funder: Kwangwoon University

OpenAlex ID: W3000225498

FWCI: 3.206

Cites: 65

Cited by: 76

Related to: 10