文献
J-GLOBAL ID:201702246170989144
整理番号:17A0142752
伝統中国医学患者記録における症状,疾患とハーブの共同解析のための条件付き確率モデル【Powered by NICT】
A conditional probabilistic model for joint analysis of symptoms, diseases, and herbs in traditional Chinese medicine patient records
著者 (7件):
Wang Sheng
(Department of Computer Science, University of Illinois at Urbana-Champaign, USA)
,
Huang Edward W
(Department of Computer Science, University of Illinois at Urbana-Champaign, USA)
,
Zhang Runshun
(Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China)
,
Zhang Xiaoping
(National Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China)
,
Liu Baoyan
(National Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China)
,
Zhou Xuezhong
(School of Computer and Information Technology, Beijing Jiaotong University, China)
,
ChengXiang Zhai
(Department of Computer Science, University of Illinois at Urbana-Champaign, USA)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
BIBM
ページ:
411-418
発行年:
2016年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)