Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ralph Szymanowsky"'
Autor:
Hong Sun, Kristof Depraetere, Laurent Meesseman, Patricia Cabanillas Silva, Ralph Szymanowsky, Janis Fliegenschmidt, Nikolai Hulde, Vera von Dossow, Martijn Vanbiervliet, Jos De Baerdemaeker, Diana M Roccaro-Waldmeyer, Jörg Stieg, Manuel Domínguez Hidalgo, Fried-Michael Dahlweid
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 6, p e34295 (2022)
BackgroundMachine learning algorithms are currently used in a wide array of clinical domains to produce models that can predict clinical risk events. Most models are developed and evaluated with retrospective data, very few are evaluated in a clinica
Externí odkaz:
https://doaj.org/article/24615fc38fcb4a739df4c3a858513afd
Autor:
Janis Fliegenschmidt, Nikolai Hulde, Maria Gedinha Preising, Silvia Ruggeri, Ralph Szymanowsky, Laurent Meesseman, Hong Sun, Michael Dahlweid, Vera von Dossow
Publikováno v:
European Journal of Anaesthesiology Intensive Care. 2:e0010
Autor:
Hong Sun, Kristof Depraetere, Laurent Meesseman, Patricia Cabanillas Silva, Ralph Szymanowsky, Janis Fliegenschmidt, Nikolai Hulde, Vera von Dossow, Martijn Vanbiervliet, Jos De Baerdemaeker, Diana M Roccaro-Waldmeyer, Jörg Stieg, Manuel Domínguez Hidalgo, Fried-Michael Dahlweid
BACKGROUND Machine learning algorithms are currently used in a wide array of clinical domains to produce models that can predict clinical risk events. Most models are developed and evaluated with retrospective data, very few are evaluated in a clinic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36f6266a8176e0e50bc83d742d5a5ef5
https://doi.org/10.2196/preprints.34295
https://doi.org/10.2196/preprints.34295
Autor:
Jos De Baerdemaeker, Vera von Dossow, Hong Sun, Nikolai Hulde, Ralph Szymanowsky, Laurent Meesseman, Martijn Vanbiervliet, Jos De Roo, Kristof Depraetere, Herman Muys
Publikováno v:
Journal of biomedical informatics. 118
Objective: Machine learning algorithms are now widely used in predicting acute events for clinical applications. While most of such prediction applications are developed to predict the risk of a particular acute event at one hospital, few efforts hav