文献
J-GLOBAL ID:202102282421190232
整理番号:21A0013936
マルチラベル学習によるメタボリックシンドロームのためのマイクロコスミック症候群分化モデル【JST・京大機械翻訳】
A Microcosmic Syndrome Differentiation Model for Metabolic Syndrome with Multilabel Learning
著者 (10件):
Xia Shujie
(Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China)
,
Zhang Jia
(Department of Artificial Intelligence, Xiamen University, Xiamen 361005, China)
,
Du Guodong
(Department of Artificial Intelligence, Xiamen University, Xiamen 361005, China)
,
Li Shaozi
(Department of Artificial Intelligence, Xiamen University, Xiamen 361005, China)
,
Vong Chi Teng
(State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao 999078, China)
,
Yang Zhaoyang
(Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China)
,
Xin Jiliang
(Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China)
,
Zhu Long
(Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China)
,
Gao Bizhen
(Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China)
,
Li Candong
(Research Base of Traditional Chinese Medicine Syndrome, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China)
資料名:
Evidence-Based Complementary and Alternative Medicine (Web)
(Evidence-Based Complementary and Alternative Medicine (Web))
巻:
2020
ページ:
Null
発行年:
2020年
JST資料番号:
U7703A
ISSN:
1741-427X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)