Heart Failure Prediction Using Data Analysis


     Machine Learning is the technique used across many ranges and many application. The healthcare industry is not excluded. By using Machine Learning we can get an easy way of predicting presence/absence of Arrhythmia and various Types of Heart diseases and many more disorders. 

If such information is predicted in advance can provide important intuitions to doctors to adapt their diagnosis while dealing with each patient. We work the data provided by the healthcare centers or hospitals and first do data analysis for the same dataset and then predicting possible Heart Diseases in people using Machine Learning algorithms. In this project we first perform the Data analysis and then use machine learning algorithm of classifiers Random Forest which gives a better accuracy while predicting the failure prediction.


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Miss. Shivani Dangi, the writer of this paper which published on DelvingOrbit.

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