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Heart Disease Prediction Using Machine Learning

Yash V. Manchekar, Rohan R. Sakpal, Swapnil N. Patil, Monali Deshmukh

Abstract


Heart disease also known as cardiovascular disease is even being highlighted as a silent killer that results in death of individual without obvious symptoms. This nature of sickness is that explanation for growing anxiety regarding this sickness and its consequences. Thus continuing efforts in field getting done to predict the chance of this deadly disease in its early phase so that various tools and techniques are frequently being tested to suit the current day healthcare system needs. By collecting the data related to heart diseases from various source and classifying data under fit headings and finally analyzing to extract the required knowledge we are able to determine that for prediction of Heart diseases machine learning techniques are most reliable and efficient, Machine Learning techniques can be a relevant in this regard.

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References


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DOI: https://doi.org/10.37628/ijods.v7i1.680

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