Medicine recommender systems can assist the medical care providers with the selection of
an appropriate medication for the patients. The advanced technologies available nowadays …

Dynamic treatment recommendation systems based on large-scale electronic health records
(EHRs) become a key to successfully improve practical clinical outcomes. Prior relevant …

Since coronavirus has shown up, inaccessibility of legitimate clinical resources is at its peak,
like the shortage of specialists and healthcare workers, lack of proper equipment and …

A vast volume of digitized clinical data has been generated and accumulated rapidly since
the widespread adoption of Electronic Medical Records (EMRs). These big data in …

Objectives Medical data mining is one of the most widely used techniques for discovering
latent knowledge from databases, which in turn contributes to clinical decisions. In the past …

The broad adoption of electronic health records (EHRs) has led to vast amounts of data
being accumulated on a patient's history, diagnosis, prescriptions, and lab tests. Advances …

In the healthcare sector, patient data plays a crucial role in medical diagnoses and treatment
plans. However, existing techniques for finding similar patients based on Electronic Health …

The importance of online recommender systems for drugs, medical professionals, and
hospitals is growing. Today, the majority of people use online consultations for drug …

Given a sequence of sets, where each set contains an arbitrary number of elements, the
problem of temporal sets prediction aims to predict the elements in the subsequent set. In …

Recent years have witnessed an opportunity for improving healthcare efficiency and quality
by mining Electronic Medical Records (EMRs). This paper is aimed at developing a …