HEART DISEASE PREDICTION

Abstract

The healthcare sectors gather enormous amounts of data, including some concealed information, which
is essentially helpful for making informed decisions. Modern data enhancing techniques are utilized to
provide accurate findings and make reliable decisions based on data. Approximately one person dies
from heart disease every minute in the modern period, making it a significant problem. This ratio takes
into account both the male and female categories, and it takes into account individuals between the
ages of 25 and 69. This does not mean that individuals in other age groups won't get heart disease.
Predicting the etiology and course of the sickness for this issue is now a very difficult task. We have
covered a number of algorithms and methods utilized in this research for heart disease prediction.