Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study.

Journal: Studies in health technology and informatics
PMID: 38682522

Abstract

BACKGROUND: Malnutrition in hospitalised patients can lead to serious complications, worse patient outcomes and longer hospital stays. State-of-the-art screening methods rely on scores, which need additional manual assessments causing higher workload.

Authors

  • Diether Kramer
    Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.
  • Stefanie Jauk
    CBmed, Graz, Austria.
  • Sai Veeranki
    AIT Austrian Institute of Technology.
  • Michael Schrempf
    Steiermärkische Krankenanstaltengesellschaft m. b. H., Graz, Austria.
  • Julia Traub
    Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.
  • Eva Kugel
    Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.
  • Anna Prisching
    Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.
  • Sandra Domnanich
    Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.
  • Maria Leopold
    Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.
  • Peter Krisper
    Division of Nephrology and Dialysis, Department of Internal Medicine, Medical University of Graz, Austria.
  • Gerald Sendlhofer
    Steiermärkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria.

Keywords

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