Natural language processing for detecting medication-related notes in heart failure telehealth patients

Alphons Eggerth*, Karl Kreiner, Dieter Hayn, Bernhard Pfeifer, Gerhard Pölzl, Tim Egelseer-Bründl, Günter Schreier

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

Heart Failure is a severe chronic disease of the heart. Telehealth networks implement closed-loop healthcare paradigms for optimal treatment of the patients. For comprehensive documentation of medication treatment, health professionals create free text collaboration notes in addition to structured information. To make this valuable source of information available for adherence analyses, we developed classifiers for automated categorization of notes based on natural language processing, which allows filtering of relevant entries to spare data analysts from tedious manual screening. Furthermore, we identified potential improvements of the queries for structured treatment documentation. For 3,952 notes, the majority of the manually annotated category tags was medication-related. The highest F1-measure of our developed classifiers was 0.90. We conclude that our approach is a valuable tool to support adherence research based on datasets containing free-text entries.

Originalspracheenglisch
TitelDigital Personalized Health and Medicine - Proceedings of MIE 2020
Redakteure/-innenLouise B. Pape-Haugaard, Christian Lovis, Inge Cort Madsen, Patrick Weber, Per Hostrup Nielsen, Philip Scott
Herausgeber (Verlag)IOS Press
Seiten761-765
Seitenumfang5
ISBN (elektronisch)9781643680828
DOIs
PublikationsstatusVeröffentlicht - 16 Jun 2020
Veranstaltung30th Medical Informatics Europe Conference, MIE 2020 - Geneva, Schweiz
Dauer: 28 Apr 20201 Mai 2020

Publikationsreihe

NameStudies in Health Technology and Informatics
Band270
ISSN (Print)0926-9630
ISSN (elektronisch)1879-8365

Konferenz

Konferenz30th Medical Informatics Europe Conference, MIE 2020
LandSchweiz
OrtGeneva
Zeitraum28/04/201/05/20

ASJC Scopus subject areas

  • !!Biomedical Engineering
  • !!Health Informatics
  • !!Health Information Management

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