Real-time forecasting of emergency department arrivals using prehospital data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1471-227X

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Real-time forecasting of emergency department arrivals using prehospital data ; volume:19 ; number:1 ; day:5 ; month:8 ; year:2019 ; pages:1-6 ; date:12.2019
BMC emergency medicine ; 19, Heft 1 (5.8.2019), 1-6, 12.2019

Creator: Asheim, Andreas
Bache-Wiig Bjørnsen, Lars P.
Næss-Pleym, Lars E.
Uleberg, Oddvar
Dale, Jostein
Nilsen, Sara M.

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12873-019-0256-z

URN: urn:nbn:de:101:1-2019122723291703334825

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:58 AM CEST

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Associated

Asheim, Andreas
Bache-Wiig Bjørnsen, Lars P.
Næss-Pleym, Lars E.
Uleberg, Oddvar
Dale, Jostein
Nilsen, Sara M.
SpringerLink (Online service)

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Real-time forecasting of emergency department arrivals using prehospital data

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Other Objects (12)

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Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning

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Development of prehospital emergency care in Singapore

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Idle peripheral intravenous cannulation: an observational cohort study of pre-hospital and emergency department practices

Development of prehospital emergency care in Singapore

Prehospital and emergency department airway management of severe penetrating trauma in Sweden during the past decade

Severe hypoglycaemia in diabetic patients in Pre-hospital and Emergency Department care: a cross-sectional survey

Head injuries in prehospital and Emergency Department settings: a prospective multicenter cross-sectional study in France

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Forecasting daily emergency department arrivals using high-dimensional multivariate data: a feature selection approach

Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning

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