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"COVID-19 Datathon Based on Deidentified Governmental Data as an Approach ..."

Mor Peleg et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-09-02

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2108-13068
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2108-13068
Mor Peleg, Amnon Reichman, Sivan Shachar, Tamir Gadot, Meytal Avgil Tsadok, Maya Azaria, Orr Dunkelman, Shiri Hassid, Daniella Partem, Maya Shmailov, Elad Yom-Tov, Roy Cohen:
COVID-19 Datathon Based on Deidentified Governmental Data as an Approach for Solving Policy Challenges, Increasing Trust, and Building a Community: Case Study. CoRR abs/2108.13068 (2021)

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