Towards a decision support system for hand dermatology

Luca Mazzola, Alice Cavazzina, Francesco Pinciroli, Stefano Bonacina, Paolo Pigatto, Fabio Ayala, Ornella De Pita, Sara Marceglia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The complexity of the medical diagnosis is faced by practitioners relying mainly on their experiences. This can be acquired during daily practices and on-the-job training. Given the complexity and extensiveness of the subject, supporting tools that include knowledge extracted by highly specialized practitioners can be valuable. In the present work, a Decision Support System (DSS) for hand dermatology was developed based on data coming from a Visit Report Form (VRF). Using a Bayesian approach and factors significance difference over the population average for the case, we demonstrated the potentiality of creating an enhanced VRF that include a diagnoses distribution probability based on the DSS rules applied for the specific patient situation.

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
PublisherIOS Press
Pages58-62
Number of pages5
Volume205
ISBN (Print)9781614994312
DOIs
Publication statusPublished - 2014
Event25th European Medical Informatics Conference, MIE 2014 - Istanbul, Turkey
Duration: Aug 31 2014Sep 3 2014

Publication series

NameStudies in Health Technology and Informatics
Volume205
ISSN (Print)09269630
ISSN (Electronic)18798365

Other

Other25th European Medical Informatics Conference, MIE 2014
Country/TerritoryTurkey
CityIstanbul
Period8/31/149/3/14

Keywords

  • Decision Support System (DSS)
  • diagnostic implicit knowledge
  • differential diagnosis
  • hand dermatology
  • medical practices

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management
  • Medicine(all)

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