文献
J-GLOBAL ID:202202212125008144
整理番号:22A0480434
臨床テキストからの薬物および有害事象同定に対する文脈的マルチタスクニューラルアプローチ【JST・京大機械翻訳】
A contextual multi-task neural approach to medication and adverse events identification from clinical text
著者 (6件):
Narayanan Sankaran
(Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India)
,
Mannam Kaivalya
(School of Mathematics, Georgia Institute of Technology, Atlanta, GA, USA)
,
Achan Pradeep
(Amrita Medical Solutions LLC, 10200 Crow Canyon Road, Castro Valley, CA, USA)
,
Ramesh Maneesha V.
(Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India)
,
Rangan P. Venkat
(Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India)
,
Rajan Sreeranga P.
(Department of Computer Science, Stanford University, 353 Jane Stanford Way, Stanford, CA 94305, USA)
資料名:
Journal of Biomedical Informatics
(Journal of Biomedical Informatics)
巻:
125
ページ:
Null
発行年:
2022年
JST資料番号:
B0827A
ISSN:
1532-0464
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)