Data Mining, Soft Computing, Machine Learning and BioInspired Computing for Heart Disease Classification/ Prediction – A Review

@inproceedings{Rathi2017DataMS,
  title={Data Mining, Soft Computing, Machine Learning and BioInspired Computing for Heart Disease Classification/ Prediction – A Review},
  author={M. Rathi and B. Narasimhan},
  year={2017}
}
Data mining is the most common research area in the field of computer science and allied areas. Decision making in clinical data mining plays a significant role in patient’s life. In this survey research article we aim to portray various data mining algorithms, soft computing techniques, machine learning algorithms and bio-inspired algorithms for predicting / classifying heart disease. Several mechanisms namely apriori algorithm, frequent itemset mining, support vector machine, neural network… Expand
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