"iCOVID: interpretable deep learning framework for early recovery-time ..."

Jun Wang et al. (2021)

> Home

Details and statistics

DOI: 10.1038/S41746-021-00496-3

access: open

type: Journal Article

metadata version: 2025-01-13

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/npjdm/00720LYZJXWWLLC21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/npjdm/00720LYZJXWWLLC21
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:
iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients. npj Digit. Medicine 4 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.