2012 Fiscal Year Final Research Report

Risk assessment and prognosis prediction for patients with acute myocardial infarction using with data mining technique

Research Project

Project/Area Number	22590590
Research Category	Grant-in-Aid for Scientific Research (C)
Allocation Type	Single-year Grants
Section	一般
Research Field	Public health/Health science
Research Institution	Yamaguchi University
Principal Investigator	MATSUI Kunihiko 山口大学, 大学院・医学系研究科, 教授 (80314201)
Co-Investigator(Kenkyū-buntansha)	KOJIMA Sunao 熊本大学, 医学部附属病院, 准教授 (50363528) OGAWA Hisao 熊本大学, 医学薬学研究部, 教授 (50177135)
Project Period (FY)	2010 – 2012
Keywords	急性心筋梗塞 / 予後予測 / データマイニング
Research Abstract	In this study, we used a prospective collected database of Japanese patients with acute myocardial infarction from the collaboration project of Japanese hospitals, Japan Acute Coronary Syndrome Study (JACSS). With a data mining technique, we assessed for physicians’ decision making model including choices of invasive intervention therapies and the patients’ outcome. Additionally, we assessed for the validity of our model. In our study results for the patients with acute myocardial infarction, the effectiveness of the invasive intervention therapy was largest for the patients with intermediate risk assessed by our prediction model.

(3 results)