Accuracy of the Traditional COVID-19 Phone Triaging System and Phone Triage-Driven Deep Learning Model.
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| Title: | Accuracy of the Traditional COVID-19 Phone Triaging System and Phone Triage-Driven Deep Learning Model. |
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| Authors: | Ahmed MM; Cairo University, Cairo, Egypt., Sayed AM; Cairo University, Cairo, Egypt., Khafagy GM; Cairo University, Cairo, Egypt., El Sayed IT; Cairo University, Cairo, Egypt., Elkholy YS; Cairo University, Cairo, Egypt., Fares AH; Benha University, Cairo, Egypt., Hasan MD; Cairo University, Cairo, Egypt., El Nahas HG; Cairo University, Cairo, Egypt., Sarhan MD; Cairo University, Cairo, Egypt., Raslan EI; Cairo University, Cairo, Egypt., Elsayed RM; Cairo University, Cairo, Egypt., Sayed AA; Cairo University, Cairo, Egypt., Elmeshmeshy EI; Cairo University, Cairo, Egypt., Yassen RM; Cairo University, Cairo, Egypt., Tawfik NM; Cairo University, Cairo, Egypt., Hussein HA; Cairo University, Cairo, Egypt., Gaber DM; Cairo University, Cairo, Egypt., Shehata MM; Cairo University, Cairo, Egypt., Fares S; Cairo University, Cairo, Egypt. |
| Source: | Journal of primary care & community health [J Prim Care Community Health] 2022 Jan-Dec; Vol. 13, pp. 21501319221113544. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Sage Publications Country of Publication: United States NLM ID: 101518419 Publication Model: Print Cited Medium: Internet ISSN: 2150-1327 (Electronic) Linking ISSN: 21501319 NLM ISO Abbreviation: J Prim Care Community Health Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2150-1327 |
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| DOI: | 10.1177/21501319221113544 |
