Nurses' workload prediction in hospitals -a Machine Learning-based approach

Mohamed Gharbi; Christine Verdier; Maria Di Mascolo

Conference Papers Year : 2024

Nurses' workload prediction in hospitals -a Machine Learning-based approach

(1, 2, 3) , (2) , (3)

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Mohamed Gharbi

Function : Author
PersonId : 1364827
IdHAL : mohamed-gharbi-1997

CALYSTENE SA

Laboratoire d'Informatique de Grenoble

Design, Engineering and Operation Management of Systems and Services

Christine Verdier

Function : Author
PersonId : 18539
IdHAL : christine-verdier
ORCID : 0000-0001-9861-5617
IdRef : 050177869

Laboratoire d'Informatique de Grenoble

Maria Di Mascolo

Function : Author
PersonId : 9554
IdHAL : maria-di-mascolo
ORCID : 0000-0002-8784-9685
IdRef : 077747275

Design, Engineering and Operation Management of Systems and Services

CV

Keywords

Workload Data processing Machine Learning Nurses

Domains

Computer Science [cs]

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Nurses’ workload prediction in hospitals – a Machine Learning-based approach.pdf (545.26 Ko)

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mohamed GHARBI : Connect in order to contact the contributor

https://hal.science/hal-04610859

Submitted on : Thursday, June 13, 2024-2:19:18 PM

Last modification on : Tuesday, June 25, 2024-10:03:58 AM

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hal-04610859 , version 1 (13-06-2024)

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HAL Id : hal-04610859 , version 1

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Mohamed Gharbi, Christine Verdier, Maria Di Mascolo. Nurses' workload prediction in hospitals -a Machine Learning-based approach. INFORSID, May 2024, Nancy Université de Lorraine, France. ⟨hal-04610859⟩

Nurses' workload prediction in hospitals -a Machine Learning-based approach

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