Abstract
Abstract: Heart disease is a worldwide health issue that affects a lot of individuals. Scientists are always trying to forecast and prevent it in novel ways. Recently, scientists used artificial intelligence and machine learning to create a brand-new technique for forecasting cardiac illness. To build a predictive model, this technique combines information from medical records, lifestyle data, and genetic markers. The model is employed to determine who is most at risk for heart disease and to offer them specific recommendations on how to lower their risk. The model's precision is remarkable, and it has the power to save many lives.
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