CARDIAC DISEASE ANALYSIS AND DISEASE DETECTION BASED ON MACHINE LEARNING ALGORITHMS

As the incidence of heart disease continues to rise globally, there is an urgent need
for accurate and efficient methods to detect and prevent this debilitating condition. To
address this need, this paper proposes a machine learning-based medical system for
predicting the likelihood of heart disease occurrence in patients. The study utilizes the UCI
dataset to analyze multiple indicators using eight different algorithms to identify the most
accurate and comprehensive attributes for predicting heart disease.