Heart-Disease-Prediction and Heart-Disease-Prediction-using-machine-and-deep-learning-techniques
These two projects are competitors, as both aim to predict heart disease using machine learning, with the first explicitly stating a higher accuracy and using a K-Neighbors Classifier, while the second uses a broader description of machine and deep learning techniques.
About Heart-Disease-Prediction
kb22/Heart-Disease-Prediction
The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.
This project helps medical professionals or health data analysts quickly assess the likelihood of heart disease in patients. By inputting patient health metrics, it outputs a prediction of whether heart disease is present. This is designed for healthcare practitioners who need a rapid, data-driven initial screening tool.
About Heart-Disease-Prediction-using-machine-and-deep-learning-techniques
nano-bot01/Heart-Disease-Prediction-using-machine-and-deep-learning-techniques
Heart Disease Prediction using machine and deep learning techniques works on heart dataset
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