Clinical Similarities: An Innovative Approach for Supporting Medical Decisions

M. Vallati, R. Gatta, B. De Bari, S. M. Magrini

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationMEDINFO 2013
Subtitle of host publicationProceedings of the 14th World Congress on Medical and Health Informatics
EditorsChristoph Ulrich Lehmann, Elske Ammenwerth, Christian Nøhr
PublisherIOS Press
Pages1114-1114
Number of pages1
ISBN (Electronic)9781614992899
ISBN (Print)9781614992882
DOIs
Publication statusPublished - 1 Dec 2013
Event14th World Congress on Medical and Health Informatics - Copenhagen, Denmark
Duration: 20 Aug 201323 Aug 2013
Conference number: 14

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS Press
Volume192
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference14th World Congress on Medical and Health Informatics
Abbreviated titleMEDINFO 2013
Country/TerritoryDenmark
CityCopenhagen
Period20/08/1323/08/13

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