Kumar, Nitin (2018) Heart Disease Detection using Machine Learning Techniques. MTech thesis.
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The World Health Organization(WHO) estimated the reason behind 30% of all global deaths corresponds to heart disease. Heart Disease is one of the main causes of death in India. Many computational techniques were proposed for detection of heart disease. Hence there is a need to design a decision system that can help in detection of heart disease. Machine learning techniques are widely used in disease detection like Heart disease, Diabetes, Cancer
etc. Machine learning classification techniques can help in the prediction of disease before occurring. In this research Feature selection approach is used to select the important features from the dataset based on the information gain value and genetic algorithms and then classification techniques Support Vector Machine, Naive Bayes, Decision Tree, k-Nearest Neighbor have been applied on the selected features to detect heart disease.
|Item Type:||Thesis (MTech)|
|Uncontrolled Keywords:||kNN; Genetic algorithm; Support vector machine; Decision tree; Features; Information gain.|
|Subjects:||Engineering and Technology > Computer and Information Science > Image Processing|
|Divisions:||Engineering and Technology > Department of Computer Science Engineering|
|Deposited By:||IR Staff BPCL|
|Deposited On:||15 Mar 2019 20:09|
|Last Modified:||15 Mar 2019 20:09|
|Supervisor(s):||Mohapatra , Ramesh Kumar|
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