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HEART DISEASE PREDICTION USING MACHINE LEARNING
ISSN: 2582 - 9130
Publisher: author
HEART DISEASE PREDICTION USING MACHINE LEARNING
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 2
Article Operation Score: 3
Article Articles Score: 2
Article Accessibility Score: 3
SUBMIT PAPER ASK QUESTION
International Category Code (ICC):
ICC-1802
Publisher: Krishma Publication
International Journal Address (IAA):
IAA.ZONE/2582384299130
eISSN
:
2582 - 9130
VALID
ISSN Validator
Abstract
Heart disease is considered one of the major causes of death throughout the world. It cannot be easily predicted by medical practitioners as it is a difficult task that demands expertise and higher knowledge for prediction. The research paper mainly intends to predict the occurrence of a disease based on data gathered from Kaggle and Cleveland foundation medical research, particularly in Heart Disease. We prepared a heart disease prediction system to predict whether the patient is likely to be diagnosed with heart disease or not using the medical history of the patient. We used different algorithms of machine learning such as logistic regression, Random Forest Classifier, AdaBoost Classifier, and KNN to predict and classify the patient with heart disease. The strength of the proposed model was quite satisfying and was able to predict evidence of having heart disease in a particular individual by using AdaBoost Classifier which showed ...
