Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media
Hongzhi Qi(Tianjin University), Guanghui Fu(Centre National de la Recherche Scientifique), Changwei Song(Beijing University of Technology), Fan Wang(Wuhan University), Jianqiang Li(Beijing University of Technology), Shuo Liu(Wuhan University), Qing Zhao(Beijing University of Technology), Yi Jing Yu(Wuhan University), Wei Zhai(The University of Texas at Arlington), Huijing Zou(Wuhan University), Bing Xiang Yang(Sun Yat-sen University)
Cited by 13
Related Papers
The mental health of medical workers in Wuhan, China dealing with the 2019 novel coronavirus
|The Lancet Psychiatry|2020|2.1k
The experiences of health-care providers during the COVID-19 crisis in China: a qualitative study
|The Lancet Global Health|2020|1.6k
Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: A cross-sectional study
|Brain Behavior and Immunity|2020|1.6k
Mapping global prevalence of depression among postpartum women
|Translational Psychiatry|2021|670
A comprehensive survey on design and application of autoencoder in deep learning
|Applied Soft Computing|2023|574