Determining Electroconvulsive Therapy Response With Machine Learning
文献类型：期刊论文
| 作者 | Abbott, Christopher C.1; Loo, Dyani1; Sui, Jing2,3
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| 刊名 | JAMA PSYCHIATRY
 |
| 出版日期 | 2016-06-01 |
| 卷号 | 73期号:6页码:545-546 |
| DOI | 10.1001/jamapsychiatry.2016.0348 |
| 文献子类 | Editorial Material |
| WOS关键词 | DEPRESSION ; BRAIN |
| WOS研究方向 | Psychiatry |
| 语种 | 英语 |
| WOS记录号 | WOS:000378868100001 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12039]  |
| 专题 | 自动化研究所_脑网络组研究中心 |
| 作者单位 | 1.Univ New Mexico, Sch Med, Dept Psychiat, 1101 Yale Blvd,Mail Stop Code 11 6035, Albuquerque, NM 87131 USA 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 3.Mind Res Network, Albuquerque, NM USA |
| 推荐引用方式 GB/T 7714 | Abbott, Christopher C.,Loo, Dyani,Sui, Jing. Determining Electroconvulsive Therapy Response With Machine Learning[J]. JAMA PSYCHIATRY,2016,73(6):545-546. |
| APA | Abbott, Christopher C.,Loo, Dyani,&Sui, Jing.(2016).Determining Electroconvulsive Therapy Response With Machine Learning.JAMA PSYCHIATRY,73(6),545-546. |
| MLA | Abbott, Christopher C.,et al."Determining Electroconvulsive Therapy Response With Machine Learning".JAMA PSYCHIATRY 73.6(2016):545-546. |
入库方式： OAI收割
来源：自动化研究所
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