Aligned-layer text search in clinical notes

Stephen Wu; Andrew Wen; Yanshan Wang; Sijia Liu; Hongfang D Liu

doi:10.3233/978-1-61499-830-3-629

Aligned-layer text search in clinical notes

Stephen Wu, Andrew Wen, Yanshan Wang, Sijia Liu, Hongfang D Liu

Health Sciences Research

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Search techniques in clinical text need to make fine-grained semantic distinctions, since medical terms may be negated, about someone other than the patient, or at some time other than the present. While natural language processing (NLP) approaches address these fine-grained distinctions, a task like patient cohort identification from electronic health records (EHRs) simultaneously requires a much more coarse-grained combination of evidence from the text and structured data of each patient's health records. We thus introduce aligned-layer language models, a novel approach to information retrieval (IR) that incorporates the output of other NLP systems. We show that this framework is able to represent standard IR queries, formulate previously impossible multi-layered queries, and customize the desired degree of linguistic granularity.

Original language	English (US)
Title of host publication	MEDINFO 2017
Subtitle of host publication	Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
Publisher	IOS Press
Pages	629-633
Number of pages	5
Volume	245
ISBN (Electronic)	9781614998297
DOIs	https://doi.org/10.3233/978-1-61499-830-3-629
State	Published - Jan 1 2017
Event	16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China Duration: Aug 21 2017 → Aug 25 2017

Publication series

Name	Studies in Health Technology and Informatics
Volume	245
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
Country	China
City	Hangzhou
Period	8/21/17 → 8/25/17

Keywords

Electronic health records
Information storage and retrieval
Natural language processing

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/978-1-61499-830-3-629

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Wu, S., Wen, A., Wang, Y., Liu, S., & Liu, H. D. (2017). Aligned-layer text search in clinical notes. In MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics (Vol. 245, pp. 629-633). (Studies in Health Technology and Informatics; Vol. 245). IOS Press. https://doi.org/10.3233/978-1-61499-830-3-629

Aligned-layer text search in clinical notes. / Wu, Stephen; Wen, Andrew; Wang, Yanshan; Liu, Sijia; Liu, Hongfang D.

MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. Vol. 245 IOS Press, 2017. p. 629-633 (Studies in Health Technology and Informatics; Vol. 245).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wu, S, Wen, A, Wang, Y, Liu, S & Liu, HD 2017, Aligned-layer text search in clinical notes. in MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. vol. 245, Studies in Health Technology and Informatics, vol. 245, IOS Press, pp. 629-633, 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017, Hangzhou, China, 8/21/17. https://doi.org/10.3233/978-1-61499-830-3-629

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