Developing a data driven approach for early detection of SIRS in pediatric intensive care using automatically labeled training data
Mast M, Marschollek M, Jack T, Wulff A, ELISE Study Group
Research article (journal) | Peer reviewedAbstract
ELISE Study Group: Louisa Bode, Marcel Mast, Antje Wulff, Michael Marschollek, Sven Schamer, Henning Rathert, Thomas Jack, Philipp Beerbaum, Nicole Rübsamen, Julia Böhnke, André Karch, Pronaya Prosun, Lena Wiese, Christian Groszewski-Anders, Andreas Haller, Mathias Slawik, Torsten Frank
Details about the publication
Journal: Studies in Health Technology and Informatics (Stud Health Technol Inform)
Volume: 289
Page range: 228-231
Status: Published
Release year: 2022 (14/01/2022)
Language in which the publication is written: English
DOI: 10.3233/SHTI210901
Keywords: Bayes Theorem; Child; Critical Care; Early Diagnosis; Humans; Machine Learning; Systemic Inflammatory Response Syndrome
Authors from the University of Münster
| Böhnke, Julia | Institute of Epidemiology and Social Medicine |
| Karch, André | Institute of Epidemiology and Social Medicine |
| Rübsamen, Nicole | Institute of Epidemiology and Social Medicine |