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


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
Number of pages5
ISBN (Print)9781614994312
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
ISSN (Print)09269630
ISSN (Electronic)18798365


Other25th European Medical Informatics Conference, MIE 2014


  • 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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