KumudRanjan4295/Liver_Disease_Prediction_Using_Machine_Learning
This project leverages machine learning to predict liver disease using clinical data from the Indian Liver Patient Dataset. It combines exploratory data analysis (EDA), classification, and regression modeling to extract meaningful healthcare insights.
This project helps medical professionals screen patients for potential liver disease and predict bilirubin levels using routine clinical test results. By inputting patient data like age, gender, bilirubin, and liver enzyme levels, it identifies key indicators and outputs a risk assessment for liver disease or an estimated bilirubin level. This is for healthcare practitioners, diagnostic labs, or public health researchers analyzing patient health data.
No commits in the last 6 months.
Use this if you need to quickly assess a patient's likelihood of liver disease or predict their total bilirubin levels based on standard clinical measurements.
Not ideal if you require diagnostic certainty from imaging or advanced biomarker tests, or if you need to predict outcomes for diverse patient populations beyond the Indian context.
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Python
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Last pushed
Apr 24, 2025
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