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Selection of Semantic Relevant Healthcare Services Subsets
Pilar Ávila1, José Castaño1, Hernán Berinsky1
1Departamento de Informática en Salud, Hospital Italiano de Buenos Aires.
Abstract:
We describe an approach to select semantically coherent specialty subsets based on the historical use of terminology by different service areas. Our approach uses rule-based and machine learning techniques to obtain a reduced set of 29 specialties.
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