Predicting mortality of individual patients with COVID-19: a multicentre Dutch cohort.

Maarten C OttenhoffLucas A RamosWouter PottersMarcus L F JanssenDeborah HubersShi HuEgill A FridgeirssonDan Piña-FuentesRajat ThomasIwan C C van der HorstChristian HerffPieter KubbenPaul W G ElbersHenk A MarqueringMax WellingSuat SimsekMartijn D de KruifTom DormansLucas M FleurenMichiel SchinkelPeter Gerben NoordzijJoop P van den BerghCaroline E WyersDavid T B BuisW Joost WiersingaElla H C van den HoutAuke C ReidingaDaisy RuschKim C E SigaloffRenee A DoumaLianne de HaanNiels C Gritters van den OeverRoger J M W RennenbergGuido A van WingenMarcel J H AriesMartijn Beudelnull null

Published in: BMJ open (2021)

Both models showed good performance and had better test characteristics than age-based decision rules, using 10 admission features readily available in Dutch hospitals. The models hold promise to aid decision-making during a hospital bed shortage.

Keyphrases

decision making
healthcare
emergency department
clinical trial
cardiovascular events
study protocol
risk factors
big data
type diabetes
acute care
machine learning