Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning

URN to cite this document:: urn:nbn:de:bvb:355-epub-568989
DOI to cite this document:: 10.5283/epub.56898

Jakob, Carolin E. M. ; Mahajan, Ujjwal Mukund ; Oswald, Marcus ; Stecher, Melanie ; Schons, Maximilian ; Mayerle, Julia ; Rieg, Siegbert ; Pletz, Mathias

; Merle, Uta ; Wille, Kai

; Borgmann, Stefan ; Spinner, Christoph D. ; Dolff, Sebastian ; Scherer, Clemens ; Pilgram, Lisa ; Rüthrich, Maria ; Hanses, Frank

; Hower, Martin ; Strauß, Richard ; Massberg, Steffen ; Er, Ahmet Görkem

; Jung, Norma ; Vehreschild, Jörg Janne ; Stubbe, Hans ; Tometten, Lukas

; König, Rainer

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 29 Feb 2024 12:42

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Abstract

Purpose While more advanced COVID-19 necessitates medical interventions and hospitalization, patients with mild COVID-19 do not require this. Identifying patients at risk of progressing to advanced COVID-19 might guide treatment decisions, particularly for better prioritizing patients in need for hospitalization. Methods We developed a machine learning-based predictor for deriving a clinical ...