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Selection of Artificial Neural Network Models for survival data with genetic algorithms : a large breast cancer case series application / F. Ambrogi, N. Lama, P. Boracchi, E. Biganzoli - In: 27. Annual conference of the International Society for Clinical Biostatistics : 27-31 August 2006, Geneva, Switzerland : abstracts book / [a cura di] L. Edler, D.W. Warne. - Heidelberg : City-Druck Offsetdruck, 2006. - pp. 164-164 (( Intervento presentato al 27. convegno Annual Conference of the International Society for Clinical Biostatistics tenutosi a Geneva nel 2006.

Selection of Artificial Neural Network Models for survival data with genetic algorithms : a large breast cancer case series application

F. Ambrogi
Primo
;P. Boracchi
Penultimo
;E. Biganzoli
Ultimo
2006
English
Settore MED/01 - Statistica Medica
Poster
27. Annual conference of the International Society for Clinical Biostatistics : 27-31 August 2006, Geneva, Switzerland : abstracts book
L. Edler, D.W. Warne
Heidelberg
City-Druck Offsetdruck
2006
164
164
null
Annual Conference of the International Society for Clinical Biostatistics
Geneva
2006
27
International Society for Clinical Biostatistics
Convegno internazionale
Intervento inviato
http://www.dkfz.de/biostatistics/iscb2006/Abstract_Book/ISCB27-content-abstracts.pdf
F. Ambrogi, N. Lama, P. Boracchi, E. Biganzoli
Book Part (author)
none
275
Selection of Artificial Neural Network Models for survival data with genetic algorithms : a large breast cancer case series application / F. Ambrogi, N. Lama, P. Boracchi, E. Biganzoli - In: 27. Annual conference of the International Society for Clinical Biostatistics : 27-31 August 2006, Geneva, Switzerland : abstracts book / [a cura di] L. Edler, D.W. Warne. - Heidelberg : City-Druck Offsetdruck, 2006. - pp. 164-164 (( Intervento presentato al 27. convegno Annual Conference of the International Society for Clinical Biostatistics tenutosi a Geneva nel 2006.
info:eu-repo/semantics/conferenceObject
4
Prodotti della ricerca::03 - Contributo in volume
03 - Contributo in volume
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/50283
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