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

• Autori principali: Marwa M. Ahmed (Autore), Amal M. Sayed (Autore), Ghada M. Khafagy (Autore), Inas T. El Sayed (Autore), Yasmine S. Elkholy (Autore), Ahmed H. Fares (Autore), Marwa D. Hasan (Autore), Heba G. El Nahas (Autore), Mai D. Sarhan (Autore), Eman I. Raslan (Autore), Radwa M. Elsayed (Autore), Asmaa A. Sayed (Autore), Eman I. Elmeshmeshy (Autore), Rehab M. Yassen (Autore), Nadia M. Tawfik (Autore), Hala A. Hussein (Autore), Dalia M. Gaber (Autore), Mervat M. Shehata (Autore), Samar Fares (Autore)
• Natura: Libro
• Pubblicazione: SAGE Publishing, 2022-07-01T00:00:00Z.
• Soggetti: article
• Accesso online: Connect to this object online.

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...