DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and Their Interactions

Ankit Ramchandani, Chao Fan, Ali Mostafavi. DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and Their Interactions. IEEE Access, 8:159915-159930, 2020. [doi]

@article{RamchandaniFM20,
  title = {DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and Their Interactions},
  author = {Ankit Ramchandani and Chao Fan and Ali Mostafavi},
  year = {2020},
  doi = {10.1109/ACCESS.2020.3019989},
  url = {https://doi.org/10.1109/ACCESS.2020.3019989},
  researchr = {https://researchr.org/publication/RamchandaniFM20},
  cites = {0},
  citedby = {0},
  journal = {IEEE Access},
  volume = {8},
  pages = {159915-159930},
}