Liver Disease Detection Using Machine Learning
Published in Annals of the Romanian Society for Cell Biology, 2021
Liver diseases are a significant global health concern. Early detection is crucial for effective treatment. This project developed a full-stack web application integrated with machine learning models to detect liver disease early. We used the UCI ILPD dataset and applied genetic algorithms and other optimization techniques to identify key predictive features. This approach enhanced model accuracy significantly, offering a valuable tool in medical diagnostics.
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