%0 Journal Article %1 journals/npjdm/00720LYZJXWWLLC21 %A Wang, Jun %A Liu, Chen %A Li, Jingwen %A Yuan, Cheng %A Zhang, Lichi %A Jin, Cheng %A Xu, Jianwei %A Wang, Yaqi %A Wen, Yaofeng %A Lu, Hongbing %A Li, Biao %A Chen, Chang %A Li, Xiangdong %A Shen, Dinggang %A Qian, Dahong %A Wang, Jian %D 2021 %J npj Digit. Medicine %K dblp %T iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients. %U http://dblp.uni-trier.de/db/journals/npjdm/npjdm4.html#00720LYZJXWWLLC21 %V 4

@article{journals/npjdm/00720LYZJXWWLLC21, added-at = {2023-10-31T00:00:00.000+0100}, author = {Wang, Jun and Liu, Chen and Li, Jingwen and Yuan, Cheng and Zhang, Lichi and Jin, Cheng and Xu, Jianwei and Wang, Yaqi and Wen, Yaofeng and Lu, Hongbing and Li, Biao and Chen, Chang and Li, Xiangdong and Shen, Dinggang and Qian, Dahong and Wang, Jian}, biburl = {https://www.bibsonomy.org/bibtex/24940899d2bafcdc8a29ac645f79d9cfd/dblp}, ee = {https://doi.org/10.1038/s41746-021-00496-3}, interhash = {fcca8875302b74d7c6f756964adaa1fd}, intrahash = {4940899d2bafcdc8a29ac645f79d9cfd}, journal = {npj Digit. Medicine}, keywords = {dblp}, timestamp = {2024-04-09T02:35:08.000+0200}, title = {iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients.}, url = {http://dblp.uni-trier.de/db/journals/npjdm/npjdm4.html#00720LYZJXWWLLC21}, volume = 4, year = 2021 }