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analysisofliverdisorder

Effective analysis and diagnosis of Liver disorder using clustering and association rules in data mining. There are many disorders of the liver that require clinical care by a physician or other healthcare professional. In this project we will present classification mode of liver patient dataset in order to predict liver diagnosis. Medical data mining is one of the critical aspect of automated disease diagnosis and disease prediction. Medical Data Diagnosis involves developing data mining algorithms and techniques to analyse medical data. In recent years, liver disorders have excessively increased and liver disease are becoming one of the most fatal diseases in several countries.

cheatsheets.github.io

conference

liver-disease-prediction-data-mining-and-machine-learning

A liver Disease Prediction that uses K nearest Neighbour, SVM and Naive Bayes Data Mining Algorithm that can predict the risk of having liver disease by taking the test result as input. machine learning algorithm is used to predict the risk. The whole application is created in flask . a python web framework.

my-portfolio

predicting-liver-disease

Training 3 machine learning algorithms on the Indian Liver Patient Disease (ILPD) Dataset to find out which features play a role in determining if a patient has liver disease.

social-network

Open source social network for thenewboston community.