Abstract Background and Objective Diagnosis as the initial step of medical practice, is one of
the most important parts of complicated clinical decision making which is usually …

Introduction: The incidence of tick-borne diseases (TBDs) is growing worldwide, and
vaccines appear as the most effective and environmentally sound intervention for the …

Objective By optimizing the extreme learning machine network with particle swarm
optimization, we established a syndrome classification and prediction model for primary liver …

Clinical decision support systems (CDSS) have been designed, implemented, and validated
to help clinicians and practitioners for decision-making about diagnosing some diseases …

Outcome prediction aims to predict the future health condition of patients from Electronic
Health Record (EHR) data. Because of the sequential characteristic of EHR data, recurrent …

As far world history is concerned, human being faced many problems like world war, terrorist
attack, bomb blasters, natural disasters and so on. But all these problems are visible and …

In medical diagnosis, generally uncertainty (vagueness or imprecision) arises due to
patients vague linguistic expression of their problems to medical experts. Furthermore, some …

Classifiers are used in a variety of applications, among them the classification of medical
data. Their efficiency depends on the quality of training data, which is a disadvantage in the …

Decision Support Systems (DSSs) are solutions that serve decision-makers in their decision-
making process. For the development of these intelligent systems, two primary components …

The ongoing epidemic SARS-CoV-2 named Corona Virus Disease (COVID-19) is highly
infectious and subsequently spread all over the world affecting millions of people. Humans …