• Mr. Rahul Sannappa Belli
• Ms. Shukranti Sambhaji Patil
• Mr. Amol Shivaji Tambekar
• Mr. Nitesh Subhash Rane

Technological rapid growth in biomedical applica- tions generate high volume of personal data. This biomedical data raises privacy concerns as it reveals sensitive data such as health status and peoples living style. Information generated by biomedical mobile applications need to keep private. The proposed system keeps private data locally on mobile and only data required for heart disease prediction is uploaded to server. Data analytics for Heart disease prediction is implemented using two algorithms Logistic Regression and Nave Bayes. This paper proposes a rule based model to compare the accuracies of applying rules to the individual results of nave bayes and logistic regression on the mHealth application database in order to present an accurate model of predicting heart disease.

Data Analytics, Nave Bayes, Logistic Regression, mHealth application

"Secure Data Analytics for Heart Disease Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.a715-a719, March-2024, Available :http://www.jetir.org/papers/JETIR2403097.pdf

"Secure Data Analytics for Heart Disease Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppa715-a719, March-2024, Available at : http://www.jetir.org/papers/JETIR2403097.pdf