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HTNSystem: Hypertension Information Extraction System for Unstructured Clinical Notes

  • Conference paper
Technologies and Applications of Artificial Intelligence (TAAI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8916))

Abstract

Hypertension (HTN) relevant information has great application potential in cohort discovery and building predictive models for prevention and surveillance. Unfortunately most of this valuable patient information is buried in the form of unstructured clinical notes. In this study we present HTN information extraction system called HTNSystem which is capable of extracting mentions of HTN and inferring HTN from BP lab values. HTNSystem is a rule based system which implements MetaMap as a core component together with custom built BP value extractor and post processing components. It is evaluated on a corpus of 514 clinical notes (82.92% F-measure). HTNSystem is distributed as an open source command line tool available at https://github.com/TCRNBioinformatics/HTNSystem .

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Author information

Authors and Affiliations

  1. Translational Cancer Research Network, UNSW, Australia

    Jitendra Jonnagaddala & Manish Kumar

  2. School of Public Health and Community Medicine, UNSW, Australia

    Jitendra Jonnagaddala & Siaw-Teng Liaw

  3. Asia-Pacific Ubiquitous Healthcare Research Centre, UNSW, Australia

    Jitendra Jonnagaddala & Pradeep Ray

  4. Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan, R.O.C.

    Hong-Jie Dai

Authors
  1. Jitendra Jonnagaddala
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  2. Siaw-Teng Liaw
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  3. Pradeep Ray
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  4. Manish Kumar
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  5. Hong-Jie Dai
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Da’an Dist., 106, Taipei City, Taiwan

    Shin-Ming Cheng

  2. Department of Information Management, Tamkang University, No. 151, Yingzhuan Rd., Danshui Dist., 25137, New Taipei City, Taiwan

    Min-Yuh Day

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© 2014 Springer International Publishing Switzerland

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Jonnagaddala, J., Liaw, ST., Ray, P., Kumar, M., Dai, HJ. (2014). HTNSystem: Hypertension Information Extraction System for Unstructured Clinical Notes. In: Cheng, SM., Day, MY. (eds) Technologies and Applications of Artificial Intelligence. TAAI 2014. Lecture Notes in Computer Science(), vol 8916. Springer, Cham. https://doi.org/10.1007/978-3-319-13987-6_21

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  • DOI: https://doi.org/10.1007/978-3-319-13987-6_21

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13986-9

  • Online ISBN: 978-3-319-13987-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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