Forecasting Mortality Associated Emergency Department Crowding with LightGBM and Time Series Data
Year of publication
2025
Authors
Nevanlinna, Jalmari; Eidstø, Anna; Ylä-Mattila, Jari; Koivistoinen, Teemu; Oksala, Niku; Kanniainen, Juho; Palomäki, Ari; Roine, Antti;
Organizations and authors
Tampere University Hospital Catchment Area
Eidstø Anna
Palomäki Ari
Ylä-Mattila Jari
Koivistoinen Teemu
Publication type
Publication format
Article
Parent publication type
Journal
Article type
Original article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A1 Journal article (refereed), original researchPublication channel information
Journal
Volume
49
Issue
1
Article number
9
ISSN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Partially open publication channel
License of the publisher’s version
CC BY
Self-archived
Yes
License of the self-archived publication
CC BY
Other information
Fields of science
Computer and information sciences; Medical engineering; Surgery, anesthesiology, intensive care, radiology
Internationality of the publisher
International
Language
English
International co-publication
No
Co-publication with a company
No
DOI
10.1007/s10916-024-02137-0
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes