Abstract
Abstract: We want to set up a system to be able to identify the indication of a heart diseases at an initial stage in order to avoid the heart failures from occurring in the first phase. A system that can precisely forecast the possibility of getting heart disease must be in place because it is unfeasible for the common individual to frequently go through pricey tests like the ECG. Researchers used a range of methods, including the feature selection algorithm sequential feature selection, LDA, SVM, RF, DT, KNN, and GBC, to predict heart illness. As a result, we recommend developing a programme that can estimate the susceptibility of a heart ailment given basic inputs like age, sex, pulse rate and pO2.
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