Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare

Heart disease is one of the complex diseases and globally many people suffered from this disease. On time and efficient identification of heart disease plays a key role in healthcare, particularly in the field of cardiology. In this article, we proposed an efficient and accurate system to diagnosis heart disease and the system is based on machine learning techniques. The system is developed based on classification algorithms includes Support vector machine, Logistic regression, Artificial neural network, K-nearest neighbor, Naïve bays, and Decision tree while standard features selection algorithms have been used such as Relief, Minimal redundancy maximal relevance, Least absolute shrinkage selection operator…

• NN
  National Natural Science Foundation of China

  Awards: 2007AA01Z423, 61370073
• DO
  Department of Science and Technology of Sichuan Province

  Awards: 61370073, 2007AA01Z423