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Early Detection Of Acute Myocardial Infarction Using The Dempster Shafer Method Rahardian Tarunosudirjo; Endah Purwanti; Yudi Her Oktaviano
Indonesian Applied Physics Letters Vol. 1 No. 1 (2020): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v1i1.21332

Abstract

This study aims to design an android application to detect indications of Acute Myocardial Infarction (AMI) using the Dempster Shafer method. The system is built with initial symptoms input parameters and risk factor indicated by AMI. The system output consists of 2 classes, namely AMI and non-AMI. The test results obtained system accuracy of 98%.