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Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated study.

Avishek ChatterjeeGuangyao WuSergey PrimakovCary OberijeHenry WoodruffPieter L KubbenRonald HenryMarcel J H AriesMartijn BeudelPeter G NoordzijTom DormansNiels C Gritters van den OeverJoop P van den BerghCaroline E WyersSuat SimsekRenée DoumaAuke C ReidingaMartijn D de KruifJulien GuiotAnne-Noelle FrixRenaud LouisMichel MoutschenPierre LovinfossePhilippe Lambin
Published in: PloS one (2021)
When applied to an external validation set, we found that an age-only mortality model outperformed all modeling attempts (curated on www.covid19risk.ai) using three feature selection methods on 22 demographic and comorbid features.
Keyphrases
  • coronavirus disease
  • sars cov
  • cardiovascular events
  • risk factors
  • artificial intelligence
  • electronic health record
  • respiratory syndrome coronavirus
  • big data
  • deep learning