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

Open Access

Peer-reviewed

Research Article

About the Authors

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

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

The authors declare that they have no competing interests.

Artificial neural networks
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Critical care and emergency medicine
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Forecasting
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Machine learning algorithms
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Algorithms
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Weather
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Religion
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Wind
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