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

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


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 ...


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