Abstract

scholarly articles on cardiology Journal of Cardiology & Cardiovascular Therapy is an Open Access, international peer reviewed journal launched from Juniper Publishers. Cardiology is a branch of medicine deals with the disorders of heart that keeps cardiologists up to date with advances in the diagnosis and treatment of cardiovascular diseases.

Highlights

  • Machine Learning Methods in Early Diagnosis of Coronary Artery DiseaseWith the advancement in information technology in health care sector, the medical hospitals are generating a huge volume of data including patient’s details, medications, ECG etc

  • Health care sector is one of the most concerned sector for any country

  • One of the prime features of machine learning is its capacity to construct models that are capable of generating knowledge, predicting the new unseen cases and produce patterns based on the learning from historical data

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Summary

Machine Learning Methods in Early Diagnosis of Coronary Artery Disease

With the advancement in information technology in health care sector, the medical hospitals are generating a huge volume of data including patient’s details, medications, ECG etc. It was required to understand this large collection of data and deduce the meaningful patterns out of it. Data mining methods proved best for finding the hidden patterns out of the large data. These methods have been applied by researchers to transmute data into knowledge. One of the most life threatening disease worldwide is Coronary artery disease. It is one of the lifestyle diseases where cost of detection and treatment is high. Many researchers are seeking intelligent computation methods for disease detection.

Introduction
Decision tree
Fuzzy logic based system using UCI machine repository data
Full Text
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