Abstract
The complexity of the medical diagnostic practices is faced nowadays mainly with an extensive and long education and with on-the-job training for GPs. Despite these efforts, a big part of the diagnostic process remains implicit in the everyday practicies of skilled professionals. This project aims at an explicit tracking of this ability through the filling-in of an additional importance level for the voices in the Electronic Medical Record. The collected data leads to the extraction of rules that can empower a Decision Support System for hand dermatological practictioner with suggestios and/or diagnoses distribution probability for a specific situation. © 2013 Springer-Verlag.
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CITATION STYLE
Mazzola, L., Marceglia, S., Bonacina, S., Pinciroli, F., Ayala, F., De Pitá, O., & Pigatto, P. (2013). Explicit tracking in the diagnostic process for hand dermatological practices. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8025 LNCS, pp. 248–257). https://doi.org/10.1007/978-3-642-39173-6_30
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