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“P(3)”: an adaptive modeling tool for post-COVID-19 restart of surgical services
OBJECTIVE: To develop a predictive analytics tool that would help evaluate different scenarios and multiple variables for clearance of surgical patient backlog during the COVID-19 pandemic. MATERIALS AND METHODS: Using data from 27 866 cases (May 1 2018–May 1 2020) stored in the Johns Hopkins All Ch...
Autores principales: | Joshi, Divya, Jalali, Ali, Whipple, Todd, Rehman, Mohamed, Ahumada, Luis M |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081059/ https://www.ncbi.nlm.nih.gov/pubmed/33948535 http://dx.doi.org/10.1093/jamiaopen/ooab016 |
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