Customized Prediction of Short Length of Stay Following Elective Cardiac Surgery in Elderly Patients Using a Genetic Algorithm

OBJECTIVE: To develop a customized short LOS (<6 days) prediction model for geriatric patients receiving cardiac surgery, using local data and a computational feature selection algorithm. DESIGN: Utilization of a machine learning algorithm in a prospectively collected STS database consisting of p...

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Detalles Bibliográficos
Autores principales: Lee, Joon, Govindan, Sapna, Celi, Leo A., Khabbaz, Kamal R., Subramaniam, Balachundhar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3904130/
https://www.ncbi.nlm.nih.gov/pubmed/24482754
http://dx.doi.org/10.4236/wjcs.2013.35034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3904130/
https://www.ncbi.nlm.nih.gov/pubmed/24482754
http://dx.doi.org/10.4236/wjcs.2013.35034

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