Sercan Ö. Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh 0005, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister. A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. npj Digit. Medicine, 4, 2021. [doi]
@article{ArikSSYLLDYPEEK21,
title = {A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan},
author = {Sercan Ö. Arik and Joel Shor and Rajarishi Sinha and Jinsung Yoon and Joseph R. Ledsam and Long T. Le and Michael W. Dusenberry and Nathanael C. Yoder and Kris Popendorf and Arkady Epshteyn and Johan Euphrosine and Elli Kanal and Isaac Jones and Chun-Liang Li and Beth Luan and Joe Mckenna and Vikas Menon and Shashank Singh 0005 and Mimi Sun and Ashwin Sura Ravi and Leyou Zhang and Dario Sava and Kane Cunningham and Hiroki Kayama and Thomas C. Tsai and Daisuke Yoneoka and Shuhei Nomura and Hiroaki Miyata and Tomas Pfister},
year = {2021},
doi = {10.1038/s41746-021-00511-7},
url = {https://doi.org/10.1038/s41746-021-00511-7},
researchr = {https://researchr.org/publication/ArikSSYLLDYPEEK21},
cites = {0},
citedby = {0},
journal = {npj Digit. Medicine},
volume = {4},
}