Discovering treatment pattern in Traditional Chinese Medicine clinical cases by exploiting supervised topic model and domain knowledge
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- 作者：Liang Yao yaoliang@zju.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Yin Zhang ; yinzh@zju.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Baogang Wei wbg@zju.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Wei Wang stephenwangw@163.com" class="auth_mail" title="E-mail the corresponding author ; Yuejiao Zhang yjzhangshi@163.com" class="auth_mail" title="E-mail the corresponding author ; Xiaolin Ren xiaolinr@126.com" class="auth_mail" title="E-mail the corresponding author ; Yali Bian bianyali@zju.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Traditional Chinese Medicine ; Clinical cases ; Treatment pattern discovery ; Topic model ; TCM domain knowledge
- 刊名：Journal of Biomedical Informatics
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：58
- 期：Complete
- 页码：260-267
- 全文大小：1235 K
文摘
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We present a novel method for mining TCM clinical cases.
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The method could extract useful treatment patterns.
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Discovered patterns could be used to improve the function prediction of a prescription.
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235">The framework is helpful to summarize experiences of TCM doctors.
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Results on 3090 real world clinical cases show the effectiveness of our method.