Clinical decision‐making is a complex patient‐centred process. For an informed clinical
decision, the input data is very thorough ranging from detailed family history, environmental …

Clinical decision support (CDS) systems offer healthcare professionals real-time, evidence-
based assistance for the diagnosis, treatment, and monitoring of medical disorders, which …

Computer-aided diagnosis (CAD), a field of medical analysis, is rapidly advancing in a large
range and is becoming more complex. Computer-aided recently, there has been a lot of …

In this day and age with technology advancing rapidly, it has become possible to store and
access tremendous amount of data at the touch of one's fingertips. Diligent utilization of …

Decision making in case of medical diagnosis is a complicated process. A large number of
overlapping structures and cases, and distractions, tiredness, and limitations with the human …

The growing availability of medical data has sparked fresh interests in Computerized
Clinical Decision Support Systems (CDSS), thanks to recent breakthroughs in machine and …

The current review contributes with an extensive overview of decision support systems in
diagnosing heart diseases in clinical settings. The investigators independently screened …

The present study explored dichotomic classification methods for medical diagnosis data
through three experiments. A first experiment run in Weka used four different classification …

The increasing use of clinical decision support systems (CDSS) to assist clinicians in
decision-making is pushing the limits of information technology. The emergence of …

Objective: The purpose of this paper is to review the PubMed/MEDLINE literature for articles
that discuss the use of machine learning (ML) and deep learning (DL) for clinical decision …