Accuracy of supervised machine learning in predicting depression, anxiety and stress using web-based big data: preserving the humanistic intellect

Introduction: One of the most useful tool to assess the extent of depression, anxiety and stress symptoms is the val�idated Depression, Anxiety and Stress Scale, 21 items (DASS-21). The availability of online mental health resource centre provides big data capable of machine learning analytics for...

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Bibliographic Details

Main Authors:	Mohammad Aidid, Edre, Musa, Ramli
Format:	Article
Language:	en
Published:	Faculty of Medicine and Health Sciences 2022
Subjects:	RA644.3 Chronic and Noninfectious Diseases and Public Health RA790 Mental Health. Mental Illness Prevention
Online Access:	http://irep.iium.edu.my/103379/2/103379_Accuracy%20of%20supervised%20machine%20learning.pdf http://irep.iium.edu.my/103379/ https://medic.upm.edu.my/upload/dokumen/2023010917110014_1553.pdf
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