A fitting machine learning prediction model for short-term mortality following percutaneous catheterization intervention: a nationwide population-based study

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Title:	A fitting machine learning prediction model for short-term mortality following percutaneous catheterization intervention: a nationwide population-based study
Authors:	Meng-Hsuen, Hsuen H;Hsieh, Meng-Hsuen;Lin, Shih-Yi;Lin, Shih-Yi;Lin, Cheng-Li;Lin, Cheng-Li;Hsie, Meng-Ju;Hsieh, Meng-Ju;Hsu, Wu-Huei;Hsu, Wu-Huei;Ju, Shu-Woei;Ju, Shu-Woei;Cheng-Chieh;Lin, Cheng-Chieh;Hsu, Chung Y.;Hsu, Chung Y.;高嘉鴻;Kao, Chia-Hung
Contributors:	生物資訊與醫學工程學系
Keywords:	Artificial neural network (ANN);decision tree (DT);percutaneous coronary intervention (PCI);acute myocardial infarction (AMI);National Health Insurance Research Database (NHIRD)
Date:	2019-12
Issue Date:	2020-09-03 07:49:38 (UTC+0)
Publisher:	亞洲大學
Abstract:	1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, USA; 2Graduate Institute of Biomedical Sciences, China Medical University, Taichung; 3Division of Nephrology and Kidney Institute, 4Management Office for Health Data, China Medical University Hospital, Taichung; 5College of Medicine, China Medical University, Taichung; 6Department of Medicine, Poznan University of Medical Sciences, Poznan, Poland; 7Division of Pulmonary and Critical Care Medicine, China Medical University Hospital and China Medical University, Taichung; 8Department of Family Medicine, 9Department of Nuclear Medicine and PET Center, and Center of Augmented Intelligence in Healthcare, China Medical University Hospital, Taichung; 10Department of Bioinformatics and Medical Engineering, Asia University, Taichung Contributions: (I) Conception and design: SY Lin, CH Kao; (II) Administrative support: CH Kao; (III) Provision of study materials or patients: CH Kao; (IV) Collection and assembly of data: All authors; (V) Data analysis and interpretation: All authors; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.
Relation:	Annals of Translational Medicine
Appears in Collections:	[生物資訊與醫學工程學系 ] 期刊論文

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