A Comparison of Intensive Care Unit Mortality Prediction Models through the Use of Data Mining Techniques

OBJECTIVES: The intensive care environment generates a wealth of critical care data suited to developing a well-calibrated prediction tool. This study was done to develop an intensive care unit (ICU) mortality prediction model built on University of Kentucky Hospital (UKH)'s data and to assess...

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Detalles Bibliográficos
Autores principales: Kim, Sujin, Kim, Woojae, Park, Rae Woong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2011
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259558/
https://www.ncbi.nlm.nih.gov/pubmed/22259725
http://dx.doi.org/10.4258/hir.2011.17.4.232

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3259558/
https://www.ncbi.nlm.nih.gov/pubmed/22259725
http://dx.doi.org/10.4258/hir.2011.17.4.232

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