Data mining is a process of inferring knowledge from such huge data. Data Mining has three
major components Clustering or Classification, Association Rules and Sequence Analysis …

Liver Disease (LD) is the main cause of death worldwide, affecting a large number of
people. A variety of factors affect the liver, resulting in this disease. The diagnosis of this …

Local Interpretable Model-Agnostic Explanations (LIME) is a popular technique used to
increase the interpretability and explainability of black box Machine Learning (ML) …

There has been a sharp increase in liver disease globally, and many people are dying
without even knowing that they have it. As a result of its limited symptoms, it is extremely …

Liver diagnosis at an early stage is essential for enhanced handling. Precise classification is
required for automatic recognition of disease from data samples (utilizing data mining for …

BACKGROUND: Breast cancer is one of the most common cancers with a high mortality rate
among women. With the early diagnosis of breast cancer survival will increase from 56% to …

Classification is the technique of identifying and assigning individual quantities to a group or
a set. In pattern recognition, K-Nearest Neighbors algorithm is a non-parametric method for …

The human liver is one of the major organs in the body and liver disease can cause many
problems in human life. Fast and accurate prediction of liver disease allows early and …

Background Machine learning models have been adapted in biomedical research and
practice for knowledge discovery and decision support. While mainstream biomedical …

This paper investigates the existing practices and prospects of medical data classification
based on data mining techniques. It highlights major advanced classification approaches …