Healthcare is considered as one of the most promising application areas for artificial
intelligence and analytics (AIA) just after the emergence of the latter. AI combined to …

Fostered by the advances in the instrumental and analytical fields, in recent years the
analysis of volatile organic compounds (VOCs) has emerged as a new frontier in medical …

This study aims to predict whether the patient deserves to be inpatient or outpatient by
comparing several machine learning techniques, namely, logistic regression, decision tree …

Burn is a devastating injury affecting over eleven million people worldwide and more than
265,000 affected individuals lost their lives every year. Low-and middle-income countries …

Nowadays, more and more college students' physical health is getting worse because of
their living habits and self‐consciousness. In order to improve the physical quality of college …

The aim of our work is to develop an automated approach for learning medical procedures
such as lumbar puncture, in 3D simulation. This type of medical procedure is currently taught …

Dengue fever is a serious illness that can lead to death in areas where epidemics spread
and in third world countries. Early diagnosis is crucial in preventing the severity of the …

Currently, stroke is the second cause of death globally. According to data from the World
Health Organization (WHO), 7.9% of deaths in Indonesia are caused by stroke. Based on …

Drug interactions prediction is one of the health critical issues in drug producing and use.
Proposing computational model for classifying and predicting interactions of drugs with high …

Heart disease is one of the most common causes of death worldwide, and accurate and
rapid diagnosis is needed to avoid serious complications. This study aimed to present a …