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Prediction and Diagnosis of Heart Diseases Using Data Mining and Artificial Intelligence-Based Algorithms
Abstract
Prediction and diagnosis of heart disease have been a problem concerning practitioners worldwide. It is envisaged that this investigation would aid in identifying the optimum prediction model capable of offering accurate results. The investigators developed software with artificial intelligence algorithms' assistance, which can help doctors choose together calculation and diagnosis of heart illness. This chapter aims to predict heart illness tolerance using machine learning algorithms. This concept enables the mobile app to identify the heart problem based on the heartbeat of the person. AI algorithms perform comparative learning from an end-to-end graphical demonstration of the outcome.
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