Predicting the probability of survival in intensive care unit patients from a small number of variables and training examples
Subject:
Intensive care
Mortality risk prediction
Support vector machines
Reduced number of variables and cases
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Editorial:
Elsevier
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Identificador local:
20090886
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The research reported here is supported in part under grant TIN2005-08288 from the MEC (Ministerio de Educación y Ciencia, Spain). The authors acknowledge the work of the Grecia Group (Grupo de Estudios y Análisis en Cuidados Intensivos) in the collection of data. This group is formed by: Hospital Universitario Río Hortega, Valladolid, Spain (Luis A. Domínguez, Jesús Blanco, Pedro Enríquez), Hospital General Yagüe, Burgos, Spain (Martín De Frutos), Hospital Clínico Universitario, Salamanca, Spain (Víctor Sagredo), Hospital Río Carrión, Palencia, Spain (Juan J. López-Messa, Ana Domínguez), Complejo Hospitalario de León, León, Spain (Demetrio Carriedo, Javier Collado), Hospital Central de Asturias, Oviedo, Spain (Francisco Taboada, Guillermo M. Albaiceta, José Antonio Gonzalo), Hospital General de Soria, Soria, Spain (Ángel García-Labattut), Hospital Clínico Universitario, Valladolid, Spain (Francisco Gandía, Felipe Bobillo), and Hospital San Agustín, Avilés, Spain (Manuel Valledor).
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