文献
J-GLOBAL ID:201802239266173386
整理番号:18A1567694
全国一般健康診査計画における非参加を予測するための機械学習アプローチの使用【JST・京大機械翻訳】
Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme
著者 (4件):
Shimoda Akihiro
(Department of Clinical Information Engineering, Division of Social Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan)
,
Ichikawa Daisuke
(Department of Clinical Information Engineering, Division of Social Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan)
,
Oyama Hiroshi
(Department of Clinical Information Engineering, Division of Social Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-0033, Japan)
,
Oyama Hiroshi
(Department of Clinical Information Engineering, School of Public Health, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan)
資料名:
Computer Methods and Programs in Biomedicine
(Computer Methods and Programs in Biomedicine)
巻:
163
ページ:
39-46
発行年:
2018年
JST資料番号:
D0213C
ISSN:
0169-2607
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アイルランド (IRL)
言語:
英語 (EN)