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Clinical Similarities: an innovative approach for supporting Medical Decisions

Vallati, Mauro, Gatta, Roberto, De Bari, Berardino and Magrini, Stefano (2013) Clinical Similarities: an innovative approach for supporting Medical Decisions. In: Proceedings MEDINFO 13. Studies in Health Technology and Informatics, 192 . IOS Press, p. 1114. ISBN 9781614992882

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Abstract

Taking decisions in the medical domain is a very complex
task. The context is strongly affected by uncertainty and the
possible undesired side effects of the treatments have to be
carefully considered. Currently, these decisions are based on
the physician's own experience and the evidences of the
published literature, according, when available, with the
philosophy of Evidence Based Medicine. The main issues of
this approach are that the own experience can be different,
and the results in the literature are sometimes contrasting.
For helping physicians while taking medical decisions, we are
proposing an innovative approach based on the idea of the
clinical similarity. Given a set of clinical variables, the
proposed approach selects patients that are similar,
presenting to the physician the respective decisions taken and
the corresponding clinical effects.

Item Type: Book Chapter
Additional Information: Paper presented at MEDINFO 2013 conference, held in Copenhagen, Denmark, in August 2013
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
R Medicine > R Medicine (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
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Depositing User: Mauro Vallati
Date Deposited: 18 Jul 2013 15:38
Last Modified: 30 Nov 2016 18:51
URI: http://eprints.hud.ac.uk/id/eprint/17971

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