文献
J-GLOBAL ID:202102272635992973
整理番号:21A1295502
高周波カテーテルアブレーションで治療した発作性上室性頻拍患者の再入院予防のためのビッグデータ方法論による費用効果分析および支払い政策推奨-人口ベース調査【JST・京大機械翻訳】
Cost Effectiveness Analysis and Payment Policy Recommendation-Population-Based Survey with Big Data Methodology for Readmission Prevention of Patients with Paroxysmal Supraventricular Tachycardia treated with Radiofrequency Catheter Ablation
著者 (7件):
Chan Chien-Lung
(Department of Information Management, Yuan Ze University, Taoyuan 320, Taiwan)
,
Chan Chien-Lung
(Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan 320, Taiwan)
,
Li Ai-Hsien Adams
(Division of Cardiology, Far Eastern Memorial Hospital, Taipei 220, Taiwan)
,
Chung Hsiang-An
(Department of Information Management, Yuan Ze University, Taoyuan 320, Taiwan)
,
Phan Dinh-Van
(Department of Information Management, Yuan Ze University, Taoyuan 320, Taiwan)
,
Phan Dinh-Van
(Statistics and Informatics Department, University of Economics, The University of Danang, Danang 550000, Vietnam)
,
Phan Dinh-Van
(Teaching and Research Team for Business Intelligence, University of Economics, The University of Danang, Danang 550000, Vietnam)
資料名:
International Journal of Environmental Research and Public Health (Web)
(International Journal of Environmental Research and Public Health (Web))
巻:
17
号:
7
ページ:
2334
発行年:
2020年
JST資料番号:
U7208A
ISSN:
1660-4601
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)