The application of machine learning (ML) and artificial intelligence (AI) in healthcare
domains has received much attention in recent years, yet significant questions remain about …

Abstract Clinical Decision Support Systems (CDSS) provide assistance to physicians in
clinical decision-making. Based on patient-specific evidence items triggering the inferencing …

Artificial Intelligence technologies are progressing into fields that were formerly believed to
be still the domain of domain analysts. Thanks to recent advances in digital form of …

Diagnosing allergy comorbidities is challenging because the comprehensive studies on the
prevalence of each allergy and the relation with other diseases are scarce. Moreover, there …

Millions of folks around the earth are affliction from late disease identification and diagnosis.
An incredible amount of health information has been obtained by the latest technologies in …

The Model-View-Controller (MVC) architecture, a cornerstone of modern software
engineering, offers a robust framework for develo** dynamic user interfaces. This paper …

Background Electronic health care databases are increasingly used for informing clinical
decision-making. In long-term care, linking and accessing information on health care …

Our medical resources are being heavily burdened with continuous population growth in the
region. Efficient software is therefore urgently needed that improves our medical diagnostic …

Clinical decision support systems have been increasingly utilized in the healthcare industry
to improve patient outcomes and enhance clinical decision-making, taking advantage of the …

Artificial Intelligence is advancing into do-mains that were previously thought to be the sole
realm of domain analysts. Recent advancements in digital information processing, artificial …