Deepti Kulkarni

Research scholar, Department of Computer Science, Oriental University, Indore, India

Rashmi Soni

Research Supervisor & Associate Professor CSE department Oriental University ,Indore, India

Abstract

Machine learning is a versatile field in the current scenario. This research paper analyzes various machine learning algorithms and implement a heart disease prediction model through machine learning. Through this paper, it can be analyzed that a high heartbeat can affect various organs and indicates symptoms of the disease. The objective is achieved by various algorithms like Decision trees, logistics, and KNN. The algorithm is selected as per the accuracy. This paper explained how the different factors of dataset: smoking, BMI, and cholesterol can affect heart rate.

Keywords- K-nearest neighbor (KNN), Body mass index (BMI), Cholesterol (totchol), Support Vector machine (SVM), Machine learning (ML), heart rate (HR), Deep Neural network (DNN).