Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for...
Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning
About this item
Full title
Author / Creator
The LEOSS Study group , LEOSS Study group , 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 and König, Rainer
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
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 mac...
Alternative Titles
Full title
Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning
Authors, Artists and Contributors
Author / Creator
LEOSS Study group
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
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8287547
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8287547
Other Identifiers
ISSN
0300-8126
E-ISSN
1439-0973
DOI
10.1007/s15010-021-01656-z
