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.
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Keywords
- Electronic Medical Record
- Decision Support System
- Contact Dermatitis
- Diagnostic Process
- Physician Global Assessment
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Mazzola, L. et al. (2013). Explicit Tracking in the Diagnostic Process for Hand Dermatological Practices. In: Duffy, V.G. (eds) Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management. Healthcare and Safety of the Environment and Transport. DHM 2013. Lecture Notes in Computer Science, vol 8025. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39173-6_30
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