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A Machine Learning Application which which predicts heart and liver diseases by taking attribute inputs from the user . Algorithms like SVM , Decision Tree , Linear Regressions are used .
We looked for the relationship between different risk factors and survival of a patient with liver disease, combining a directed network model with survival analysis
A machine learning system was developed for diagnosing chorionic liver infection using eight algorithms from the Indian Liver Patient Dataset, and a web application was developed to assess liver disease risk.
Codes for my project called " Fatty Liver Classification and Scaling: from 0 to 2 using CNN." In this project, I've created my own neural network and trained it with the images of the kidneys with the fat level scaling from 0 to 2. With each given new data to the network, the programme indicates which level of fatness the liver is categorized.
This is a Liver Disease Machine Learning Classification Capstone Project in fulfillment of the Udacity Azure ML Nanodegree. In this project, you will learn to deploy a machine learning model from scratch. The files and documentation with experiment instructions needed for replicating the project, is provided for you.