Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Louisa, Bode"'
Autor:
Amy R. Zipursky, Karen L. Olson, Louisa Bode, Alon Geva, James Jones, Kenneth D. Mandl, Andrew McMurry
Publikováno v:
PLoS ONE, Vol 18, Iss 11 (2023)
Externí odkaz:
https://doaj.org/article/a5089987118046649e105deeb43f0857
Autor:
Andre Karch, Antje Wulff, Michael Marschollek, Philipp Beerbaum, Thomas Jack, Julia Böhnke, Nicole Rübsamen, Marcel Mast, Henning Rathert, Louisa Bode, Sven Schamer, Pronaya Prosun Das, Lena Wiese, Christian Groszewski-Anders, Andreas Haller, Torsten Frank
Publikováno v:
BMJ Paediatrics Open, Vol 6, Iss 1 (2022)
Introduction Systemic inflammatory response syndrome (SIRS), sepsis and associated organ dysfunctions are life-threating conditions occurring at paediatric intensive care units (PICUs). Early recognition and treatment within the first hours of onset
Externí odkaz:
https://doaj.org/article/f336dfc3fcc34bf09c6ce818d03a2cb5
Autor:
Louisa, Bode, Sven, Schamer, Julia, Böhnke, Oliver Johannes, Bott, Michael, Marschollek, Thomas, Jack, Antje, Wulff
Publikováno v:
Applied clinical informatics. 13(5)
Background One of the major challenges in pediatric intensive care is the detection of life-threatening health conditions under acute time constraints and performance pressure. This includes the assessment of pediatric organ dysfunction (OD) that dem
Publikováno v:
Studies in health technology and informatics. 295
To embrace the need for freely accessible training data sets originating from the real world, in the ELISE project, we integrate source data from a pediatric intensive care unit and provide it to researchers.We present our vision, initial results and
Autor:
Louisa Bode
Background: To embrace the need for freely accessible training data sets originating from the real world, in the ELISE project, we integrate source data from a pediatric intensive care unit and provide it to researchers. Objective: We present our vis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcb831fa50f92f629c970e0b25e0cef5
https://doi.org/10.3233/shti220670
https://doi.org/10.3233/shti220670
Autor:
Julia Böhnke, Julian Varghese, André Karch, Nicole Rübsamen, Louisa Bode, Marcel Mast, Michael Marschollek, Sven Schamer, Henning Rathert, Thomas Jack, Philipp Beerbaum, Pronaya Prosun Das, Lena Wiese, Christian Groszweski-Anders, Andreas Haller, Torsten Frank, Antje Wulff
Publikováno v:
Journal of clinical epidemiology. 151
This systematic review assesses the reporting quality and risk of bias in studies evaluating the diagnostic test accuracy (DTA) of clinical decision support systems (CDSS).The Cochrane Library, PubMed/MEDLINE, Scopus, and Web of Science were searched
Autor:
Lena Wiese, Louisa Bode
Critical care can benefit from analyzing data by machine learning approaches for supporting clinical routine and guiding clinical decision-making. Developing data-driven approaches for an early detection of systemic inflammatory response syndrome (SI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da9f84be5e7d7b62e95a84a16b3090f7
https://doi.org/10.3233/shti210901
https://doi.org/10.3233/shti210901