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JMIR Mental Health|November 7, 2015
Identifying Chinese Microblog Users With High Suicide Probability Using Internet-Based Profile and Linguistic Features: Classification ModelLi Guan, Bibo Hao, Qijin Cheng, et al.Frontiers in Psychiatry|August 14, 2023
Exploring the ability of vocal biomarkers in distinguishing depression from bipolar disorder, schizophrenia, and healthy controlsWei Pan, Fusong Deng, Xianbin Wang, et al.Plos One|September 25, 2020
Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on TwitterJia Xue, Junxiang Chen, Chen Chen, et al.Journal of Medical Internet Research|December 8, 2020
Subjective Well-Being of Chinese Sina Weibo Users in Residential Lockdown During the COVID-19 Pandemic: Machine Learning AnalysisYilin Wang, Peijing Wu, Xiaoqian Liu, et al.Frontiers in Psychology|May 16, 2022
Predicting Risk Propensity Through Player Behavior in DOTA 2: A Cross-Sectional StudySihua Lyu, Nan Zhao, Yichuan Zhang, et al.Cyberpsychology, Behavior and Social Networking|September 7, 2017
Predicting the Trends of Social Events on Chinese Social MediaYang Zhou, Lei Zhang, Xiaoqian Liu, et al.Journal of Interpersonal Violence|February 15, 2018
Using Social Media to Explore the Consequences of Domestic Violence on Mental HealthMingming Liu, Jia Xue, Nan Zhao, et al.Peerj|September 28, 2016
Emotion recognition using Kinect motion capture data of human gaitsShun Li, Liqing Cui, Changye Zhu, et al.Frontiers in Public Health|April 3, 2023
Using gait videos to automatically assess anxietyYeye Wen, Baobin Li, Xiaoqian Liu, et al.Death Studies|November 12, 2019
A linguistic study of Chinese Weibo users who lost their only childMingming Liu, Tianli Liu, Xinyu Wang, et al.Pageof 10