Open AccessEarly Detection Of Acute Myocardial Infarction Using The Dempster Shafer Method
Author(s) -
Rahardian Tarunosudirjo,
Endah Purwanti,
Yudi Her Oktaviano
Publication year - 2020
Publication title -
indonesian applied physics letters
Language(s) - English
Resource type - Journals
ISSN - 2745-3502
DOI - 10.20473/iapl.v1i1.21332
Subject(s) - myocardial infarction , dempster–shafer theory , medicine , artificial intelligence , computer science , cardiology
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%.