About: Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes

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scholarly article by Valérie Bourdès et al published 2010 in Advances in Artificial Neural Systems

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у 2010 (uk) article scientifique publié en 2010 (fr) im Jahr 2010 veröffentlichter wissenschaftlicher Artikel (de) scholarly article by Valérie Bourdès et al published 2010 in Advances in Artificial Neural Systems (en)
publication date	wds:Q58649241-E0969C4C-57D5-4755-85D4-BE5B56577EE2
publication date	2010-01-01 00:00:00Z (xsd:dateTime)
cites work	wds:Q58649241-002BC295-23A2-4031-9BCF-9EB4B428349B wds:Q58649241-0E14968E-DA8D-4B19-8E40-8B8ED39DDEA5 wds:Q58649241-10D4431E-ABCA-4ACA-875B-DFD57B323F2F wds:Q58649241-21C6CB19-10D6-46B4-AA79-03690BC59BB4 wds:Q58649241-3802378F-06E9-4B32-A351-618E1998B4CD wds:Q58649241-4CCD1D12-53AF-4359-BC24-27DF44478B27 wds:Q58649241-90264F45-4310-4811-9200-70B2389959D0 wds:Q58649241-A8D874E0-0267-4A1C-B066-8AEFC07B4ADD wds:Q58649241-B3852A59-ED45-4F90-8239-B7B03F1A9737 wds:Q58649241-D7CD1273-5E2B-4461-B59B-E2F42EDEF864 wds:Q58649241-F607F0C5-5BC8-4C05-B4B9-33E7EE30F1DF
cites work	Multilayer feedforward networks are universal approximators A review of evidence of health benefit from artificial neural networks in medical intervention Artificial neural networks improve the accuracy of cancer survival prediction. Feed forward neural networks for the analysis of censored survival data: a partial logistic regression approach Application of artificial neural networks to clinical medicine A practical application of neural network analysis for predicting outcome of individual breast cancer patients A demonstration that breast cancer recurrence can be predicted by neural network analysis Prediction of risk of coronary events in middle-aged men in the Prospective Cardiovascular Münster Study (PROCAM) using neural networks. Prognosis in node-negative primary breast cancer: a neural network analysis of risk profiles using routinely assessed factors. A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer A general framework for neural network models on censored survival data
author name string	wds:Q58649241-21888A3F-5586-4391-B842-691293CBB215 wds:Q58649241-485AC9FA-C9AD-4612-87FD-2843EBDE2756 wds:Q58649241-6048ACA6-EECA-4704-9DFE-BA4CE5F29DE8 wds:Q58649241-7DE7B871-B296-4A9E-9DB9-5AB9E6D1D3E1 wds:Q58649241-8C9CF304-31E1-464C-A6B2-D9CD29EFC403 wds:Q58649241-C0177E97-FB8F-4430-A511-AB81F0C8F11B wds:Q58649241-DDD38E45-205A-494E-9E11-35D558ADAC3E wds:Q58649241-E46CF382-DA8A-4AEC-B62E-415B2141F6B4
author name string	Sylvie Chabaud Sylvie Négrier Rémy Defrance David Pérol Stéphane Bonnevay Valérie Bourdès Paolo Lisboa Thérèse Gargi
rdfs:label	Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes (en) Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes (nl)
skos:prefLabel	Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes (en) Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes (nl)
name	Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes (en) Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes (nl)
author	wds:Q58649241-DD055BC7-8183-420F-A3EE-8565EEB344CA
author	Thomas Bachelot
title	wds:Q58649241-4768BD09-F6E0-4AA9-9ADA-AD5714BDD16B
title	Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes (en)
page(s)	wds:Q58649241-085E47D3-B984-40AC-A25C-AFB4169C4163
page(s)	1-11
instance of	wds:Q58649241-E8B8515F-B2F0-44E3-B1E5-4550B2CDA513
instance of	scholarly article
main subject	wds:Q58649241-0462AE89-F0EC-4BE4-893A-180825482C46 wds:Q58649241-44260B3F-C268-4B1D-8FAF-C3E9A8B5E8FB
main subject	artificial neural network logistic regression model
DBLP publication ID	wds:Q58649241-F1005D7A-7995-4399-8F0D-286BB80DF1E4
DBLP publication ID	https://dblp.org/rec/journals/aans/BourdesBLDPCBGN10
DBLP publication ID	journals/aans/BourdesBLDPCBGN10
published in	wds:Q58649241-8CD0A358-12CB-4D29-996E-635AADD4F292
published in	Advances in Artificial Neural Systems
volume	wds:Q58649241-95A1E711-B814-4CA2-AB18-9B05B7275073
volume	2010
DOI	wds:Q58649241-4B91F898-4D76-425F-8131-D3865EF9E6D5
DOI	http://dx.doi.org/10.1155/2010/309841
DOI	10.1155/2010/309841
copyright license	wds:Q58649241-0E4547E2-175B-4DE7-B2D3-1092B3219761
copyright status	wds:Q58649241-3A031D37-AE4D-4A3C-9F6C-D6A3ACFA5742
copyright license	Creative Commons Attribution 3.0 Unported
copyright status	copyrighted
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q58649241
is cites work of	Improving Gastric Cancer Outcome Prediction Using Single Time-Point Artificial Neural Network Models Artificial Neural Network Analysis of Sierpinski Gasket Fractal Antenna: A Low Cost Alternative to Experimentation
is cites work of	wds:Q33565946-29AC1AF3-7D7C-47BE-A662-41C7CCEC3375 wds:Q58917892-F2842B14-6690-4327-B39B-8DC80368F143

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