Rectified-Linear-Unit-Based Deep Learning for Biomedical Multi-label Data.
文献类型：期刊论文
| 作者 | Wang, Pu ; Ge, Ruiquan ; Xiao, Xuan ; Cai, Yunpeng ; Wang, Guoqing ; Zhou, Fengfeng |
| 刊名 | INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Disease diagnosis is one of the major data mining questions by the clinicians. The current diagnosis models usually have a strong assumption that one patient has only one disease, i.e. a single-label data mining problem. But the patients, especially when at the late stages, may have more than one disease and require a multi-label diagnosis. The multi-label data mining is much more difficult than a single-label one, and very few algorithms have been developed for this situation. Deep learning is a data mining algorithm with highly dense inner structure and has achieved many successful applications in the other areas. We propose a hypothesis that rectified-linear-unit-based deep learning algorithm may also be good at the clinical questions, by revising the last layer as a multi-label output. The proof-of-concept experimental data support the hypothesis, and the community may be interested in trying more applications. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12611]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES |
| 推荐引用方式 GB/T 7714 | Wang, Pu , Ge, Ruiquan , Xiao, Xuan ,et al. Rectified-Linear-Unit-Based Deep Learning for Biomedical Multi-label Data.[J]. INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES,2017. |
| APA | Wang, Pu , Ge, Ruiquan , Xiao, Xuan , Cai, Yunpeng , Wang, Guoqing ,& Zhou, Fengfeng.(2017).Rectified-Linear-Unit-Based Deep Learning for Biomedical Multi-label Data..INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES. |
| MLA | Wang, Pu ,et al."Rectified-Linear-Unit-Based Deep Learning for Biomedical Multi-label Data.".INTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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