Accuracy of the Traditional COVID-19 Phone Triaging System and Phone Triage-Driven Deep Learning Model.

Journal: Journal of primary care & community health
Published Date: Jan 1, 2022

Abstract

OBJECTIVES: During the COVID-19 pandemic, a quick and reliable phone-triage system is critical for early care and efficient distribution of hospital resources. The study aimed to assess the accuracy of the traditional phone-triage system and phone triage-driven deep learning model in the prediction of positive COVID-19 patients.

Authors

  • Marwa M Ahmed
    Cairo University, Cairo, Egypt.
  • Amal M Sayed
    Cairo University, Cairo, Egypt.
  • Ghada M Khafagy
    Cairo University, Cairo, Egypt.
  • Inas T El Sayed
    Cairo University, Cairo, Egypt.
  • Yasmine S Elkholy
    Cairo University, Cairo, Egypt.
  • Ahmed H Fares
    Benha University, Cairo, Egypt.
  • Marwa D Hasan
    Cairo University, Cairo, Egypt.
  • Heba G El Nahas
    Cairo University, Cairo, Egypt.
  • Mai D Sarhan
    Cairo University, Cairo, Egypt.
  • Eman I Raslan
    Cairo University, Cairo, Egypt.
  • Radwa M Elsayed
    Cairo University, Cairo, Egypt.
  • Asmaa A Sayed
    Cairo University, Cairo, Egypt.
  • Eman I Elmeshmeshy
    Cairo University, Cairo, Egypt.
  • Rehab M Yassen
    Cairo University, Cairo, Egypt.
  • Nadia M Tawfik
    Cairo University, Cairo, Egypt.
  • Hala A Hussein
    Cairo University, Cairo, Egypt.
  • Dalia M Gaber
    Cairo University, Cairo, Egypt.
  • Mervat M Shehata
    Cairo University, Cairo, Egypt.
  • Samar Fares
    Cairo University, Cairo, Egypt.

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