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Authors: Krystyna Milian 1 ; Anca Bucur 2 ; Frank van Harmelen 3 and Annette ten Teije 4

Affiliations: 1 VU University Amsterdam and Philips Research Eindhoven, Netherlands ; 2 Philips Research Eindhoven, Netherlands ; 3 VU University Amsterdam, Netherlands ; 4 VU University of Amsterdam, Netherlands

ISBN: 978-989-8565-37-2

ISSN: 2184-4305

Keyword(s): Semantic Analysis, Selecting Ontology Subsets, Concepts Relevance, Ontology Annotators, Medical Ontologies.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Health Information Systems ; Semantic Interoperability

Abstract: Since eligibility criteria of clinical trials are represented as free text, their automatic interpretation and the evaluation of patient eligibility is challenging. Our approach to the criteria processing is based on the identification of contextual patterns and semantic concepts that together define the machine-interpretable meaning. The goal of this research is to find the most relevant concepts occurring in eligibility criteria that need to be mapped to patient record to enable automatic evaluation of patient eligibility. Based on the analysis of annotation of breast cancer trials obtained using different concept recognizers and ontologies from UMLS Thesaurus, we chose to use MetaMap and SNOMED CT to create the mapping set. To prioritize the identified concepts, we used the tf-idf measure and the corpus of over 38, 000 various clinical trials, to detect concepts specific for breast cancer, and cancer in general. The obtained results can guide the mapping order of criteria concepts to patient data. The observed substantial overlap between the terms occurring in criteria from the trials related to breast cancer and other diseases will reduce the cost of extending the trial matching system to other diseases. (More)

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Paper citation in several formats:
Milian, K.; Bucur, A.; van Harmelen, F. and ten Teije, A. (2013). Identifying Most Relevant Concepts to Describe Clinical Trial Eligibility Criteria. In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013) ISBN 978-989-8565-37-2 ISSN 2184-4305, pages 161-166. DOI: 10.5220/0004192501610166

@conference{healthinf13,
author={Krystyna Milian. and Anca Bucur. and Frank {van Harmelen}. and Annette {ten Teije}.},
title={Identifying Most Relevant Concepts to Describe Clinical Trial Eligibility Criteria},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013)},
year={2013},
pages={161-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004192501610166},
isbn={978-989-8565-37-2},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2013)
TI - Identifying Most Relevant Concepts to Describe Clinical Trial Eligibility Criteria
SN - 978-989-8565-37-2
IS - 2184-4305
AU - Milian, K.
AU - Bucur, A.
AU - van Harmelen, F.
AU - ten Teije, A.
PY - 2013
SP - 161
EP - 166
DO - 10.5220/0004192501610166

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