A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization

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Yan Y., Schaffter T., Bergquist T., Yu T., Prosser J., AYDIN Z., ...Daha Fazla

JAMA NETWORK OPEN, cilt.4, sa.10, 2021 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 4 Sayı: 10
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1001/jamanetworkopen.2021.24946
  • Dergi Adı: JAMA NETWORK OPEN
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE, Directory of Open Access Journals
  • Abdullah Gül Üniversitesi Adresli: Evet

Özet

IMPORTANCE Machine learning could be used to predict the likelihood of diagnosis and severity of illness. Lack of COVID-19 patient data has hindered the data science community in developing models to aid in the response to the pandemic.