HTNSystem: Hypertension information extraction system for unstructured clinical notes

Jitendra Jonnagaddala, Siaw Teng Liaw, Pradeep Ray, Manish Kumar, Hong Jie Dai

研究成果: 雜誌貢獻文章同行評審

7 引文 斯高帕斯(Scopus)

摘要

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.

ASJC Scopus subject areas

  • 電腦科學(全部)
  • 理論電腦科學

指紋

深入研究「HTNSystem: Hypertension information extraction system for unstructured clinical notes」主題。共同形成了獨特的指紋。

引用此