Methodology for Classifying and Indexing Case-Based Reasoning Systems in the Health Sciences

TitleMethodology for Classifying and Indexing Case-Based Reasoning Systems in the Health Sciences
Publication TypeConference Proceedings
Year of Conference2009
AuthorsBichindaritz I, Reed, Jr. JC
Conference NameProceedings of the Twenty-Second International FLAIRS Conference
Number of Volumes325 - 330
Abstract

As the amount of information available to researchers grows
at an increasing rate, it becomes much more difficult to find
relevant resources. An approach taken by several
authoritative bodies, such as the Association for Computing
Machinery and the U.S. National Library of Medicine, is the
introduction of a classification scheme. However, even the
most modern schemes are not capable of adequately
distinguishing one research paper from another, due mainly
to their broad generality. This paper describes a
methodology for building a much narrower, specialized
classification scheme focused on the area of Cased-Based
Reasoning in the Health Sciences. It is derived from
thorough analysis of the field, but with a framework that can
be adapted to other areas. Using a tiered approach to further
subdivide systems into more specific classes according to
criteria specific to this particular field, this classification
scheme affords interdisciplinary search, which is generally
left out of generic indexing systems. This paper presents the
resulting classification scheme and showcases its usefulness
for classifying and tracking the evolution of research.

URLhttps://pdfs.semanticscholar.org/3e9e/57106a226a829fa0bf7a4da8f689a68a46cf.pdf
Refereed DesignationUnknown