The concept of diversity was successfully introduced for recommender-systems. By
displaying results that are not only similar to a target problem but also diverse among …

The integration of rule-based and case-based reasoning is particularly useful in medical
applications, where both general rules and specific patient cases are usually available. In …

Recommender systems bring together ideas from information retrieval and filtering, user
profiling, and machine learning in an attempt to provide users with more proactive and …

Background: The Advanced Bolus Calculator for Type 1 Diabetes (ABC4D) is a decision
support system using the artificial intelligence technique of case-based reasoning to adapt …

One reason why Case-Based Reasoning (CBR) has become popular is because it reduces
development cost compared to rule-based expert systems. Still, the knowledge engineering …

Recommender systems have been extensively studied to present items, such as movies,
music and books that are likely of interest to the user. Researchers have indicated that …

Recommender systems try to help users access complex information spaces. A good
example is when they are used to help users to access online product catalogs, where …

An ever-increasing number of individuals hear about the well-being and clinical
determination issues. Nonetheless, as indicated by the organization's report, over 200 …

We describe recommender systems and especially case-based recommender systems. We
define a framework in which these systems can be understood. The framework contrasts …

Physicians gather a vast amount of information about patients' medical procedures,
treatments, insurance coverage, and other clinical data. Such information is crucial in …