Knowledge Services Using Rule-Based Formalization for Eligibility Criteria of Clinical Trials

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Abstract

Rule-based formalization of eligibility criteria in clinical trials have distinguished features such as declaration, easy maintenance, reusability, and expressiveness. In this paper, we present several knowledge services which can be provided by the rule-based formalization of eligibility criteria. The rule-based formalization can be generated automatically by using the logic programming Prolog with the support of NLP tools for the semantic annotation and relation extraction with medical ontologies/terminologies such as UMLS and SNOMED CT. We show how those automatically generated rule-based formalization for eligibility criteria can be used for the patient recruitment service in SemanticCT, a semantically-enabled system for clinical trials.
Original languageEnglish
Title of host publicationHealth Information Science - 5th International Conference, HIS 2016, Proceedings
PublisherSpringer/Verlag
Pages49-61
Number of pages13
Volume10038 LNCS
ISBN (Print)9783319483344
DOIs
Publication statusPublished - 2016
Event5th International Conference on Health Information Science, HIS 2016 - Shanghai, China
Duration: 5 Nov 20167 Nov 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer
Volume10038 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Health Information Science, HIS 2016
Country/TerritoryChina
CityShanghai
Period5/11/167/11/16

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