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Predicting Surgical Service Demands: A Modeling challenge using Administrative Data.

Detalles Bibliográficos
Autores principales: Katz, Alan, Taylor, Carole, Okechukwu, Ekuma, Soodeen, Ruth-Ann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644856/
http://dx.doi.org/10.23889/ijpds.v7i3.1931
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author Katz, Alan
Taylor, Carole
Okechukwu, Ekuma
Soodeen, Ruth-Ann
author_facet Katz, Alan
Taylor, Carole
Okechukwu, Ekuma
Soodeen, Ruth-Ann
author_sort Katz, Alan
collection PubMed
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spelling pubmed-96448562022-11-18 Predicting Surgical Service Demands: A Modeling challenge using Administrative Data. Katz, Alan Taylor, Carole Okechukwu, Ekuma Soodeen, Ruth-Ann Int J Popul Data Sci Article Swansea University 2022-08-25 /pmc/articles/PMC9644856/ http://dx.doi.org/10.23889/ijpds.v7i3.1931 Text en https://creativecommons.org/licenses/by/4.0/This work is licenced under a Creative Commons Attribution 4.0 International License.
spellingShingle Article
Katz, Alan
Taylor, Carole
Okechukwu, Ekuma
Soodeen, Ruth-Ann
Predicting Surgical Service Demands: A Modeling challenge using Administrative Data.
title Predicting Surgical Service Demands: A Modeling challenge using Administrative Data.
title_full Predicting Surgical Service Demands: A Modeling challenge using Administrative Data.
title_fullStr Predicting Surgical Service Demands: A Modeling challenge using Administrative Data.
title_full_unstemmed Predicting Surgical Service Demands: A Modeling challenge using Administrative Data.
title_short Predicting Surgical Service Demands: A Modeling challenge using Administrative Data.
title_sort predicting surgical service demands: a modeling challenge using administrative data.
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644856/
http://dx.doi.org/10.23889/ijpds.v7i3.1931
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AT soodeenruthann predictingsurgicalservicedemandsamodelingchallengeusingadministrativedata