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An intelligent framework to measure the effects of COVID-19 on the mental health of medical staff.
Irfan, Muhammad; Shaf, Ahmad; Ali, Tariq; Zafar, Maryam; Rahman, Saifur; I Hendi, Meiaad Ali; M Baeshen, Shatha Abduh; Maghfouri, Maryam Mohammed Mastoor; Alahmari, Hailah Saeed Mohammed; Shahhar, Ftimah Ahmed Ibrahim; Shahhar, Nujud Ahmed Ibrahim; Halawi, Amnah Sultan; Mahnashi, Fatima Hussen; Alqhtani, Samar M; Ali M, Bahran Taghreed.
Affiliation
  • Irfan M; Electrical Engineering Department, College of Engineering, Najran University, Najran, Saudi Arabia.
  • Shaf A; Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan.
  • Ali T; Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan.
  • Zafar M; Department of Computer Science, COMSATS University Islamabad, Sahiwal Campus, Sahiwal, Pakistan.
  • Rahman S; Electrical Engineering Department, College of Engineering, Najran University, Najran, Saudi Arabia.
  • I Hendi MA; Armed Forces Hospital Jazan, Jazan, Saudi Arabia.
  • M Baeshen SA; Armed Forces Hospital Southern Region, Khamis Mushait, Saudi Arabia.
  • Maghfouri MMM; Ministry of Health, Riyadh, Saudi Arabia.
  • Alahmari HSM; Armed Forces Hospital Southern Region, Khamis Mushait, Saudi Arabia.
  • Shahhar FAI; Ministry of Health, Riyadh, Saudi Arabia.
  • Shahhar NAI; Ministry of Health, Riyadh, Saudi Arabia.
  • Halawi AS; Armed Forces Hospital Jazan, Jazan, Saudi Arabia.
  • Mahnashi FH; Al-Twal General Hospital, Al-Twal, Jazan, Saudi Arabia.
  • Alqhtani SM; Department of Information Systems, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia.
  • Ali M BT; Armed Forces Hospital Jazan, Jazan, Saudi Arabia.
PLoS One ; 18(6): e0286155, 2023.
Article in En | MEDLINE | ID: mdl-37289778
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies Aspects: Patient_preference Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
XML
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies Aspects: Patient_preference Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: Country of publication: