The health sciences are, nowadays, one of the major application areas for case-based
reasoning (CBR). The paper presents a survey of recent medical CBR systems based on a …

Diabetes management is a difficult task for patients, who must monitor and control their
blood glucose levels in order to avoid serious diabetic complications. It is a difficult task for …

Case-based reasoning (CBR) is an Artificial Intelligence (AI) approach with broad
applicability to building intelligent systems in health sciences domains. It represents …

Tabular biomedical data poses challenges in machine learning because it is often high-
dimensional and typically low-sample-size (HDLSS). Previous research has attempted to …

People with asthma have heterogeneous triggers and symptoms, which they need to be
aware of in order to implement the strategies to manage their condition. Context-aware …

Due to diversity, heterogeneity and complexity of the existing healthcare structure, providing
suitable healthcare services is a complicated process. This work describes the conceptual …

Abstract Case-Based Reasoning (CBR) and interpolation tools can provide solutions to
unknown problems by adapting solutions from other problems already solved. We propose a …

Background Radiologists' training is based on intensive practice and can be improved with
the use of diagnostic training systems. However, existing systems typically require …

OBJECTIVES: Efficient clinical treatment processes is considered a key factor of medical
quality control. Current IT solutions are far away from this perspective since they typically …

This paper presents the 4 Diabetes Support System TM (4DSS) project as a case study in
case-based reasoning (CBR) research and development. This project aims to help patients …