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Simulation of the COVID-19 patient flow and investigation of the future patient arrival using a time-series prediction model: a real-case study.
Tavakoli, Mahdieh; Tavakkoli-Moghaddam, Reza; Mesbahi, Reza; Ghanavati-Nejad, Mohssen; Tajally, Amirreza.
Affiliation
  • Tavakoli M; School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
  • Tavakkoli-Moghaddam R; School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran. tavakoli@ut.ac.ir.
  • Mesbahi R; School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
  • Ghanavati-Nejad M; School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
  • Tajally A; School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Med Biol Eng Comput ; 60(4): 969-990, 2022 Apr.
Article in En | MEDLINE | ID: mdl-35152366
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Med Biol Eng Comput Year: 2022 Document type: Article Affiliation country: Iran Country of publication: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Med Biol Eng Comput Year: 2022 Document type: Article Affiliation country: Iran Country of publication: United States