Prediction of Heart Disease and Diabetes Using Naive Bayes Algorithm
Ninad Marathe, Sushopti Gawade, Adarsh Kanekar
2021International Journal of Scientific Research in Computer Science Engineering and Information Technology20 citationsDOIOpen Access PDF
Abstract
Based on the test report values, diagnose a potential problem. The patient's report can be entered as feedback by the doctors (Sugar level, Age, Blood pressure, etc.). Through evaluating the available data collection, we can predict whether the patient has heart disease or diabetes using the method. Apart from that, we use Rstudio's R shiny addon for Web UI design. As a coding language, we use the R programming language. The Rstudio IDE was used. The datasets were obtained from the University of California at Irvine's repository.
Topics & Concepts
Diabetes mellitusNaive Bayes classifierBayes' theoremComputer scienceDiseaseCoding (social sciences)MedicineMachine learningAlgorithmArtificial intelligenceStatisticsBayesian probabilityInternal medicineMathematicsEndocrinologySupport vector machineArtificial Intelligence in HealthcareMachine Learning in HealthcareCardiovascular Function and Risk Factors