Identification of depressive symptoms: A cause-and-effect based machine learning study-Reference-Cited by-同舟云学术

Identification of depressive symptoms: A cause-and-effect based machine learning study

Published:2024-04-08 Issue:10 Volume:137 Page:1258-1260
ISSN:0366-6999
Container-title:Chinese Medical Journal
language:en
Short-container-title:

Author:

Wang Tiantian¹²³,Zhang Zijian¹²,Zhang Xilin⁴,Xue Chuang⁵,Cheng Tingting²⁶

Affiliation:

1. Department of Radiation Oncology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China

2. National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, Hunan 410008, China

3. School of Science, Hunan University of Technology and Business, Changsha, Hunan 410205, China

4. School of Mathematical Sciences, University of Science and Technology of China, Hefei, Anhui 230026, China

5. Department of Physiotherapy Treatment Center, Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310000, China

6. Department of General Practice, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference5 articles.

1. Retrospective diagnosis of mental illness: Past and present;Schmidt;Lancet Psychiatry,2020

2. Relationship between depression and lifestyle factors in Chinese adults using multi-level generalized estimation equation model;Yuan;Chin Med J,2023

3. Misdiagnosis, detection rate, and associated factors of severe psychiatric disorders in specialized psychiatry centers in Ethiopia;Ayano;Ann Gen Psychiatry,2021

4. Recognition of audio depression based on convolutional neural network and generative antagonism network model;Wang;IEEE Access ,2020

5. Machine learning methods to evaluate the depression status of Chinese recruits: A diagnostic study;Zhao;Neuropsychiatr Dis Treat,2020