A wealth of data are available within the health care system, however, effective analysis
tools for exploring the hidden patterns in these datasets are lacking. To alleviate this …

Big data analytics enables useful information to be extracted in order to predict trends and
behavior patterns. Predictive analytics can be applied in health care industry by using the …

Liver illness is the most hazardous ailment that influences a large number of individuals
consistently and ends man's life. An effective diagnosis model is required in the process of …

Purpose Several threatening infectious diseases, including influenza, Ebola, SARS, and
COVID-19, have affected human society over the past decades. These disease outbreaks …

Nowadays, a large number of data mining (DM) techniques are available for data analysis
and prediction in medicine. Few literatures are available that provide a comprehensive view …

Abstract—cardiovascular diseases are among the most common diseases in all societies.
The most important step in minimizing myocardial infarction and its complications is to …

Background The health care system is undergoing a shift toward a more patient-centered
approach for individuals with chronic and complex conditions, which presents a series of …

In this research, a hybrid model is developed by integrating a case-based data clustering
method and a fuzzy decision tree for medical data classification. Two datasets from UCI …

An important part of healthcare is disease risk assessment, which aids in early diagnosis,
prevention, and personalized treatment plans. Symptoms, as major indications of underlying …

The threats to people's health from chronic diseases are always exist and increasing
gradually. How to decrease these threats is an important issue in medical treatment. Thus …