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"A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 ..."

Sercan Ö. Arik et al. (2021)

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DOI: 10.1038/S41746-021-00511-7

access: closed

type: Journal Article

metadata version: 2023-04-29

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  dblp key:
  - journals/npjdm/ArikSSYLLDYPEEK21
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  persistent URL:
  - https://dblp.org/rec/journals/npjdm/ArikSSYLLDYPEEK21
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, 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)

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