Advances in machine learning in suicide prediction on online social platforms
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 accura...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Sichuan Mental Health
2021-12-01
|
| Series: | Sichuan jingshen weisheng |
| Subjects: | |
| Online Access: | http://www.psychjm.net.cn/scjswszzen/ch/reader/view_abstract.aspx?file_no=202106018&flag=1 |
| _version_ | 1797627594585145344 |
|---|---|
| author | Wang Hanxiao Kang Aijia Zhao Yubao Zhao Furong Jiang Xiaojiang Hao Fengyi Tang Xiangdong |
| author_facet | Wang Hanxiao Kang Aijia Zhao Yubao Zhao Furong Jiang Xiaojiang Hao Fengyi Tang Xiangdong |
| author_sort | Wang Hanxiao |
| collection | DOAJ |
| description | 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）. |
| first_indexed | 2024-03-11T10:26:32Z |
| format | Article |
| id | doaj.art-461f441f28384a6fb5947a3e4437cb57 |
| institution | Directory Open Access Journal |
| issn | 1007-3256 |
| language | zho |
| last_indexed | 2024-03-11T10:26:32Z |
| publishDate | 2021-12-01 |
| publisher | Editorial Office of Sichuan Mental Health |
| record_format | Article |
| series | Sichuan jingshen weisheng |
| spelling | doaj.art-461f441f28384a6fb5947a3e4437cb572023-11-15T12:18:46ZzhoEditorial Office of Sichuan Mental HealthSichuan jingshen weisheng1007-32562021-12-0134658058410.11886/scjsws202105210011007-3256（2021）06-0580-05Advances in machine learning in suicide prediction on online social platformsWang Hanxiao0Kang Aijia1Zhao Yubao2Zhao Furong3Jiang Xiaojiang4Hao Fengyi5Tang Xiangdong6The First People’s Hospital of Chongqing Liangjiang New Area， Chongqing 401120， ChinaThe First People’s Hospital of Chongqing Liangjiang New Area， Chongqing 401120， ChinaHangzhou Anken Medical Technology Co.， Ltd.， Hangzhou 311121， ChinaThe First People’s Hospital of Chongqing Liangjiang New Area， Chongqing 401120， ChinaArmy Medical Center of PLA， Chongqing 400042， ChinaThe First People’s Hospital of Chongqing Liangjiang New Area， Chongqing 401120， ChinaSleep Medicine Center， West China Hospital， Sichuan University， Chengdu 610041， ChinaThis 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）.http://www.psychjm.net.cn/scjswszzen/ch/reader/view_abstract.aspx?file_no=202106018&flag=1machine learningsuicidepredictionreview |
| spellingShingle | Wang Hanxiao Kang Aijia Zhao Yubao Zhao Furong Jiang Xiaojiang Hao Fengyi Tang Xiangdong Advances in machine learning in suicide prediction on online social platforms Sichuan jingshen weisheng machine learning suicide prediction review |
| title | Advances in machine learning in suicide prediction on online social platforms |
| title_full | Advances in machine learning in suicide prediction on online social platforms |
| title_fullStr | Advances in machine learning in suicide prediction on online social platforms |
| title_full_unstemmed | Advances in machine learning in suicide prediction on online social platforms |
| title_short | Advances in machine learning in suicide prediction on online social platforms |
| title_sort | advances in machine learning in suicide prediction on online social platforms |
| topic | machine learning suicide prediction review |
| url | http://www.psychjm.net.cn/scjswszzen/ch/reader/view_abstract.aspx?file_no=202106018&flag=1 |
| work_keys_str_mv | AT wanghanxiao advancesinmachinelearninginsuicidepredictionononlinesocialplatforms AT kangaijia advancesinmachinelearninginsuicidepredictionononlinesocialplatforms AT zhaoyubao advancesinmachinelearninginsuicidepredictionononlinesocialplatforms AT zhaofurong advancesinmachinelearninginsuicidepredictionononlinesocialplatforms AT jiangxiaojiang advancesinmachinelearninginsuicidepredictionononlinesocialplatforms AT haofengyi advancesinmachinelearninginsuicidepredictionononlinesocialplatforms AT tangxiangdong advancesinmachinelearninginsuicidepredictionononlinesocialplatforms |