Antipsychotic-based machine learning models may help prediction of tardive dyskinesia in patients with schizophrenia
文献类型：期刊论文
| 作者 | Uludag, Kadir3; Wang, Dong Mei1,3 ; Mohamoud, Yasmin2; Wu, Hanjing Emily2; Zhang, Xiangyang1,2,3
|
| 刊名 | SCHIZOPHRENIA RESEARCH
 |
| 出版日期 | 2023-02-01 |
| 卷号 | 252页码:33-35 |
| 关键词 | Predicting movement disorder Tardive dyskinesia Machine learning Schizophrenia Random forest |
| ISSN号 | 0920-9964 |
| DOI | 10.1016/j.schres.2022.12.026 |
| 通讯作者 | Wang, Dong Mei(wangdm@psych.ac.cn) ; Zhang, Xiangyang(zhangxy@psych.ac.cn) |
| 收录类别 | SCI |
| 资助项目 | CAS International Cooperation Research Program[153111KYSB20190004] ; CAS Pioneer Hundred Talents Program ; CAS Key Laboratory of Mental Health ; Chinese government |
| WOS研究方向 | Psychiatry |
| 语种 | 英语 |
| WOS记录号 | WOS:000923336900001 |
| 出版者 | ELSEVIER |
| 资助机构 | CAS International Cooperation Research Program ; CAS Pioneer Hundred Talents Program ; CAS Key Laboratory of Mental Health ; Chinese government |
| 源URL | [http://ir.psych.ac.cn/handle/311026/44712]  |
| 专题 | 心理研究所_中国科学院心理健康重点实验室 |
| 通讯作者 | Wang, Dong Mei; Zhang, Xiangyang |
| 作者单位 | 1.16 Lincui Rd, Beijing 100101, Peoples R China 2.Univ Texas Hlth Sci Ctr Houston, Dept Psychiat & Behav Sci, Houston, TX USA 3.Chinese Acad Sci, Inst Psychol, CAS Key Lab Mental Hlth, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Uludag, Kadir,Wang, Dong Mei,Mohamoud, Yasmin,et al. Antipsychotic-based machine learning models may help prediction of tardive dyskinesia in patients with schizophrenia[J]. SCHIZOPHRENIA RESEARCH,2023,252:33-35. |
| APA | Uludag, Kadir,Wang, Dong Mei,Mohamoud, Yasmin,Wu, Hanjing Emily,&Zhang, Xiangyang.(2023).Antipsychotic-based machine learning models may help prediction of tardive dyskinesia in patients with schizophrenia.SCHIZOPHRENIA RESEARCH,252,33-35. |
| MLA | Uludag, Kadir,et al."Antipsychotic-based machine learning models may help prediction of tardive dyskinesia in patients with schizophrenia".SCHIZOPHRENIA RESEARCH 252(2023):33-35. |
入库方式： OAI收割
来源：心理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。