Aligned-layer text search in clinical notes

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationMEDINFO 2017
Subtitle of host publicationPrecision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
PublisherIOS Press
Pages629-633
Number of pages5
Volume245
ISBN (Electronic)9781614998297
DOIs
StatePublished - Jan 1 2017
Event16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China
Duration: Aug 21 2017Aug 25 2017

Publication series

NameStudies in Health Technology and Informatics
Volume245
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
CountryChina
CityHangzhou
Period8/21/178/25/17

Fingerprint

Information retrieval
Natural Language Processing
Natural language processing systems
Information Storage and Retrieval
Health
Linguistics
Electronic Health Records
Semantics
Language
Processing

Keywords

  • Electronic health records
  • Information storage and retrieval
  • Natural language processing

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

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