Advances in machine learning in suicide prediction on online social platforms
10.11886/scjsws20210521001
- VernacularTitle:机器学习在网络社交平台自杀预测领域的研究进展
- Author:
Hanxiao WANG
1
;
Aijia KANG
1
;
Yubao ZHAO
2
;
Furong ZHAO
1
;
Xiaojiang JIANG
3
;
Fengyi HAO
1
;
Xiangdong TANG
4
Author Information
1. The First People’s Hospital of Chongqing Liangjiang New Area， Chongqing 401120， China
2. Hangzhou Anken Medical Technology Co.， Ltd.， Hangzhou 311121， China
3. Army Medical Center of PLA， Chongqing 400042， China
4. Sleep Medicine Center， West China Hospital， Sichuan University， Chengdu 610041， China
- Publication Type:Review
- Keywords:
Machine learning;
Suicide;
Prediction;
Review
- From:
Sichuan Mental Health
2021;34(6):580-584
- CountryChina
- Language:Chinese
-
Abstract:
This article systematically reviews the research results related to the machine learning based suicide ideation prediction on social networking platforms， so as to provide references for group and individual suicide prediction. This article will address the current states （issues of algorithm accuracy and efficiency， privacy leakage and stigma） and limitations of machine learning based suicide prediction on different platforms （light blogging， acquaintance social platforms， forums， picture and video sharing applications and clinical databases）.
