iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients

iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients

Abstract Most prior studies focused on developing models for the severity or mortality prediction of COVID-19 patients. However, effective models for recovery-time prediction are still lacking. Here, we present a deep learning solution named iCOVID that can successfully predict the recovery-time of...

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Détails bibliographiques
Auteurs principaux: Jun Wang, Chen Liu, Jingwen Li, Cheng Yuan, Lichi Zhang, Cheng Jin, Jianwei Xu, Yaqi Wang, Yaofeng Wen, Hongbing Lu, Biao Li, Chang Chen, Xiangdong Li, Dinggang Shen, Dahong Qian, Jian Wang
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
Computer applications to medicine. Medical informatics
R858-859.7
Accès en ligne:https://doaj.org/article/a6e6a3508738431586a63408365d0e7e
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https://doaj.org/article/a6e6a3508738431586a63408365d0e7e

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