• Akshata Ayyalsomayajula

Machine Learning is used in various fields these days, The health care industry is no exception. Heart Disease is one common type of deadly disease these days which people are prone to. Early detection of it would reduce the risk created by the disease. Although there is lot of data that is collected by the health care industry , the data collected isn’t efficiently made use of due improper methods of discovering underlying patterns of present in the data and the decision making. In this project we’ll be making a model wherein we’ll be building a model that can be used in prediction of a potential heart disease. Here we use different Machine Learning algorithms for the prediction of a heart disease using 13 different attributes like Blood Pressure , Cholesterol , Resting Heart rate , Gender , Age etc. which tell the likelihood of a patient being effected by a heart disease.

Machine Learning , Heart Disease Prediction , Classification Algorithm , Hybrid Machine learning Model, Accuracy.

"STUDY ON HEART DISEASE PREDICTION MODEL USING MACHINE LEARNING ALGORITHMS AND HYBRID MACHINE LEARNING MODEL.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.j469-j477, June-2022, Available :http://www.jetir.org/papers/JETIR2206963.pdf

"STUDY ON HEART DISEASE PREDICTION MODEL USING MACHINE LEARNING ALGORITHMS AND HYBRID MACHINE LEARNING MODEL.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppj469-j477, June-2022, Available at : http://www.jetir.org/papers/JETIR2206963.pdf