The diagnosis of heart failure can be difficult, even for heart failure specialists. Artificial
Intelligence-Clinical Decision Support System (AI-CDSS) has the potential to assist …

Health knowledge graph provides an ideal technical means to integrate heterogeneous data
resources and enhance knowledge-based services. There are many challenges for the …

Background and objective: Sharing of medical data is required to enable the cross-agency
flow of healthcare information and construct high-accuracy computer-aided diagnosis …

Abstract Knowledge based systems have accomplished remarkable achievements in
assisting evidence based decision making for complex problems. However, machine …

Introduction: Clinical decision support science is expanding to include integration from
broader and more varied data sources, diverse platforms and delivery modalities, and is …

Clinical decision support systems (CDSSs) represent the latest technological transformation
in healthcare for assisting clinicians in complex decision-making. Several CDSSs are …

Background: The process of adding new knowledge in the form of rules to already running
Clinical Decision Support Systems (CDSSs) in hospitals is extremely costly and time …

Data, information, and knowledge processing systems, in the domain of healthcare, are
currently plagued by heterogeneity at various levels. Current solutions have focused on …

With the progress of medical informatization and the substantial growth of clinical data,
knowledge graph is playing an increasingly important role in medical domain. Medical …

Clinical decision systems (CDSs) showed promising results in different areas including
reminder systems, diagnostic, drug dose, prescription, and other pharma related domains …