• Jitendra Singh Bedi
• Dr. Ashish Tamrakar
• Khusboo Sao
• MD. Arif Khan

The medical industry is information-rich, but not all the data is mined that are required for discovering hidden patterns & effective decision-making. In this paper, we developed a low-level prototype proficient “Heart Disease Prediction System" (HDPS) using data mining and machine learning models, namely Decision Trees, Naïve Bayes, and Artificial Neural Networks. The software can predict the particular patient getting a heart disease with the help of some key attributes of patients such as age, gender, Blood Pressure, etc. It can serve as a training tool to train nurses and technical staff to diagnose patients with heart disease so that the patient gets early treatment for a particular disease. Data mining and artificial intelligence calculations help experts make better predictions and diagnoses of the disease. The goal of this research is to use statics of the patient and predict or detect the disease or explore the condition of a heart.

Data mining, Decision support, Decision Tree, Heart Disease, Naïve Bayes, Machine Learning

"Heart Disease Prediction System With Data Mining & Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.q90-q95, April-2024, Available :http://www.jetir.org/papers/JETIR2404H12.pdf

"Heart Disease Prediction System With Data Mining & Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppq90-q95, April-2024, Available at : http://www.jetir.org/papers/JETIR2404H12.pdf