Selection of Semantic Relevant Healthcare Services Subsets.
Journal:
Studies in health technology and informatics
Published Date:
Jan 1, 2018
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.