Optimal Diagnosis of AMI by Artificial Neural Network & Data Envelopment Analysis

摘要

Optimization of diagnostic efficiency by mathematic modeling rather than logic is getting momentum in the medical spectrum using computer data analysis. Effective evaluation of disease diagnosis is considered to be one of the research problems getting relief and reduction of cost. Thus the diagnosis of Acute Myocardial Infarction (AMI) by DEA-ANN method is a significant development received by Physician as well as R&D of Pharmaceuticals. This study proposes an optimization criterion of diagnosis by BCC method of Data Envelopment Analysis (DEA) and Artificial Neural Network. ANN is used as a logical tool to optimize the decision developed by DEA. Tables and graphs were provided for the optimization diagnosis of 100 patients and conclusions were made on the final diagnosis.