Case Based Reasoning (CBR) is an important technique in artificial intelligence, which has
been applied to various kinds of problems in a wide range of domains. Selecting case …

This paper presents a study of why and how Case-Based Reasoning (CBR) can be used in
the long term to help elderly people living alone in a Smart Home. The work focuses on the …

In general, the studies introducing the medical predictive models which frequently handle
time series data by direct matching between pairs of features within sequences during …

The method described in this article evaluates case similarity in the retrieval stage of case-
based reasoning (CBR). It thus plays a key role in deciding which case to select, and …

In clinical treatment processes, inpatient length of stay (LOS) is not only a readily available
indicator of hospital activity, but also a reasonable proxy of resource consumption. Accurate …

Case-based reasoning is a popular approach used in intelligent systems. It is particularly
useful in domains where an abundant number of past cases is available. Cases encompass …

One of the major assumptions in case-based reasoning is that similar experiences can
guide future reasoning, problem solving and learning. This assumption shows the …

The success of a Case-Based Reasoning (CBR) system closely depends on its knowledge-
base, named the case-base. The life cycle of CBR systems usually implies updating the …

Abstract Case-Base Reasoning is a problem-solving methodology that uses old solved
problems, called cases, to solve new problems. The case-base is the knowledge source …

Electronic health records (EHRs) play an essential role in patient management and
guideline-based care. However, EHRs often do not encode therapy protocols directly, and …