| Autor: |
Wang Hanxiao, Kang Aijia, Zhao Yubao, Zhao Furong, Jiang Xiaojiang, Hao Fengyi, Tang Xiangdong |
| Jazyk: |
čínština |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Sichuan jingshen weisheng, Vol 34, Iss 6, Pp 580-584 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1007-3256 |
| DOI: |
10.11886/scjsws20210521001 |
| Popis: |
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）. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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