PUBLICATION
Linguistic Rule-Based Methods for the Extraction of Medical Summaries to Benefit Patients Progression Tracking
Type
Journal Article
Year
2016
Authors
Nurfadhlina Mohd Sharef
Research Area
Published in
Journal of Engineering and Applied Sciences
ISBN/ISSN
1816-949X
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Abstract
Clinical narratives contain useful information that can complement the patient progress records which are obtained throughout the patient's medical and treatment duration. In order to understand the clinical narratives content, medical concepts that include events and temporal information should be performed. This study addresses this issue based on a linguistic rule-based approach which combines domain knowledge, extraction modules and temporal link component. This is in contrast to the fundamentals adopted by the major works based on machine learning. The proposed works performance is therefore evaluated against a machine learning based approach and a knowledge intensive approach. Results have shown its strength regardless of its different nature
Reference
Sharef, Nurfadhlina M.; Noura, Mahda: Linguistic Rule-Based Methods for the Extraction of Medical Summaries to Benefit Patients Progression Tracking. Journal of Engineering and Applied Sciences, pp. 408-413, 2016.
