The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance.

Barakat, Mohamed S; Field, Matthew; Ghose, Aditya; Stirling, David; Holloway, Lois; Vinod, Shalini; Dekker, Andre; Thwaites, David

Barakat, Mohamed S; Field, Matthew; Ghose, Aditya; Stirling, David; Holloway, Lois; Vinod, Shalini; Dekker, Andre; Thwaites, David.

Afiliación

Barakat MS; South Western Sydney Clinical School, UNSW, Liverpool, NSW 2170 Australia.
Field M; Ingham Institute for Applied Medical Research, 1 Campbell St, Liverpool, NSW 2170 Australia.
Ghose A; South Western Sydney Clinical School, UNSW, Liverpool, NSW 2170 Australia.
Stirling D; Ingham Institute for Applied Medical Research, 1 Campbell St, Liverpool, NSW 2170 Australia.
Holloway L; School of Computing and Information Technology, University of Wollongong, Northfield Ave, Wollongong, NSW 2522 Australia.
Vinod S; School of Electrical, Computer and Telecommunication Engineering, University of Wollongong, Northfield Ave, Wollongong, NSW 2522 Australia.
Dekker A; South Western Sydney Clinical School, UNSW, Liverpool, NSW 2170 Australia.
Thwaites D; Ingham Institute for Applied Medical Research, 1 Campbell St, Liverpool, NSW 2170 Australia.

Health Inf Sci Syst ; 5(1): 16, 2017 Dec.

Article en En | MEDLINE | ID: mdl-29255599

Palabras clave

Decision Support; Imputation; Missing data; Modeling and Lung Cancer

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_cobertura_universal Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Health Inf Sci Syst Año: 2017 Tipo del documento: Article

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