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Deep Learning Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study.

Thao Thi HoJong Min ParkTaewoo KimByung Geon ParkJaehee LeeJin Young KimKi Beom KimSooyoung ChoiYoung Hwan KimJae-Kwang KimSanghun Choi
Published in: JMIR medical informatics (2021)
Our study successfully differentiated high-risk cases among COVID-19 patients using imaging and clinical features. The developed model can be used as a predictive tool for interventions in aggressive therapies.
Keyphrases
  • sars cov
  • deep learning
  • coronavirus disease
  • high resolution
  • physical activity
  • machine learning
  • early onset