Feature Extraction Techniques Using Support Vector Machines in Disease Prediction

@inproceedings{Kaur2016FeatureET,
  title={Feature Extraction Techniques Using Support Vector Machines in Disease Prediction},
  author={Sandeep Kaur and Dr. Sheetal Kalra},
  year={2016}
}
Data mining process is becoming important in healthcare industry due to very large volume of data produced and collected by them on daily basis. Support Vector Machine is the most commonly used classification algorithm for disease prediction in healthcare industry. It is widely used to predict the disease like diabetes, breast cancer, lung cancer, heart disease etc. It is advantageous to reduce the number of input features to Support Vector Machine in order to get efficient results. To reduce… CONTINUE READING

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