Intelligent diagnosis processes rely on Artificial Intelligence (AI) techniques to provide
possible diagnoses by analyzing patient data and medical information. To make accurate …

The present study examines the role of feature selection methods in optimizing machine
learning algorithms for predicting heart disease. The Cleveland Heart disease dataset with …

In recent years, artificial intelligence has made remarkable strides, improving various
aspects of our daily lives. One notable application is in intelligent chatbots that use deep …

Abstract Background and Aims Due to the COVID‐19 pandemic, a precise and reliable
diagnosis of this disease is critical. The use of clinical decision support systems (CDSS) can …

Background and aim Pancreatic cancer possesses a high prevalence and mortality rate
among other cancers. Despite the low survival rate of this cancer type, the early prediction of …

Poisoning with organophosphate compounds is a significant public health risk, especially in
develo** countries. Considering the importance of early and accurate prediction of …

Background Medical diagnosis plays a critical role in our daily lives. Every day, over 10
billion cases of both mental and physical health disorders are diagnosed and reported …

BACKGROUND: Improving the physical, psychological, and social factors in the elderly
significantly increases the QoL 1 among them. This study aims to identify the crucial factors …

Background: Since hospitalized patients with COVID-19 are considered at high risk of death,
the patients with the sever clinical condition should be identified. Despite the potential of …

Background The complex process of liver graft assessment is one point for improvement in
liver transplantation. The main objective of this study is to develop a tool that supports the …