Predicting the Cumulative Fluid Intake in Cardiac Intensive Care Patients

Katharina Maria Bergmoser, Fabian Wagner, Lucas Pflanzl-Knizacek, Gernot Schilcher, Michael Schörghuber, Matthias Hafner, Christian Baumgartner

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Fluid balance can be considered a valuable biomarker of critical illness. Administering the right dosage over time of fluids, thereby avoiding fluid overload, remains a challenge in intensive care. As a first step towards a fluid management decision support system, this work compared four models for predicting the course of the cumulative fluid intake in 30 cardiac intensive care patients. Analyses of the root mean squared error (RMSE) showed the lowest prediction error for an extrapolation model using a piecewise regression-approach.
Original languageEnglish
Title of host publicationProceedings Annual Meeting of the Austrian Society for Biomedical Engineering 2021
Subtitle of host publicationÖGBMT 2021
EditorsGernot Müller-Putz, Christian Baumgartner
Place of PublicationGraz
PublisherVerlag der Technischen Universität Graz
Pages87-90
Number of pages4
ISBN (Electronic)978-3-85125-826-4
DOIs
Publication statusPublished - 30 Sep 2021

Fields of Expertise

  • Human- & Biotechnology

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