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Open Access

Peer-reviewed

Research Article

Enhancing the forecast accuracy of the daily number of patients arrivals in emergency department by hybrid ARIMAX-ANN algorithm

Hamed Tabesh,

Roles Methodology, Writing – review & editing

Affiliation Department of Epidemiology and Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
⨯
Ali AbbaszadehMozaffari,

Roles Data curation, Formal analysis

Affiliation Department of Epidemiology and Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
⨯
Zahra Ebnehoseini,

Roles Data curation

Affiliation Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
⨯
Azadeh Saki

Roles Methodology, Supervision, Writing – original draft, Writing – review & editing

* E-mail: sakia@mums.ac.ir, azadehsaki@gmail.com

Affiliation Department of Epidemiology and Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran

https://orcid.org/0000-0002-4144-5810

⨯

Enhancing the forecast accuracy of the daily number of patients arrivals in emergency department by hybrid ARIMAX-ANN algorithm

Hamed Tabesh,
Ali AbbaszadehMozaffari,
Zahra Ebnehoseini,
Azadeh Saki

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Published: April 30, 2026
https://doi.org/10.1371/journal.pone.0347866

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