Liver Disease Prediction using Machine Learning This repository contains a machine learning model for predicting liver disease based on patient data. The project includes data preprocessing, exploratory data analysis (EDA), feature selection, and model training.
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Developed a YOLOv5-based deep learning model for liver disease detection. Integrated Stable Loss, data augmentation, and Adam optimizer. Evaluated performance with accuracy, precision, recall, and F1-score, and enhanced medical visualization with heatmaps.
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anurag965/Liver_disease_prediction
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Developed a YOLOv5-based deep learning model for liver disease detection. Integrated Stable Loss, data augmentation, and Adam optimizer. Evaluated performance with accuracy, precision, recall, and F1-score, and enhanced medical visualization with heatmaps.
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