Effectiveness of artificial intelligence in detecting and managing depressive disorders: Systematic review

Author:

Park Yoonseo,Park Sewon,Lee Munjae

Funder

National Research Foundation of Korea

Ministry of Trade, Industry and Energy

Ministry of Education

Korea Institute for Advancement of Technology

Ajou University

Publisher

Elsevier BV

Reference119 articles.

1. Wearable artificial intelligence for anxiety and depression: scoping review;Abd-Alrazaq;J. Med. Internet Res.,2023

2. Using machine-learning to predict sudden gains in treatment for major depressive disorder;Aderka;Behav. Res. Ther.,2021

3. Diagnosis of depression based on transfer learning model using audio data of interview-type;A-Hyeon Jo;Trans. Korean Inst. Electr. Eng. P,2021

4. Predicting depression from smartphone behavioral markers using machine learning methods, hyperparameter optimization, and feature importance analysis: exploratory study;Asare;JMIR Mhealth Uhealth,2021

5. Tracking and monitoring mood stability of patients with major depressive disorder by machine learning models using passive digital data: prospective naturalistic multicenter study;Bai;JMIR Mhealth Uhealth,2021

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