Training artificial neural networks directly on the concordance index for censored data using genetic algorithms.
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Analysis of regional bone scan index measurements for the survival of patients with prostate cancer.Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic AlgorithmsRaman spectroscopy of blood serum for Alzheimer's disease diagnostics: specificity relative to other types of dementiaFeature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention.Bayesian neural network approach for determining the risk of re-intervention after endovascular aortic aneurysm repair.
P2860
Training artificial neural networks directly on the concordance index for censored data using genetic algorithms.
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2013 nî lūn-bûn
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2013 թուականի Ապրիլին հրատարակուած գիտական յօդուած
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2013 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2013年の論文
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2013年論文
@yue
2013年論文
@zh-hant
2013年論文
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2013年論文
@zh-mo
2013年論文
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2013年论文
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name
Training artificial neural net ...... data using genetic algorithms.
@ast
Training artificial neural net ...... data using genetic algorithms.
@en
type
label
Training artificial neural net ...... data using genetic algorithms.
@ast
Training artificial neural net ...... data using genetic algorithms.
@en
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Training artificial neural net ...... data using genetic algorithms.
@ast
Training artificial neural net ...... data using genetic algorithms.
@en
P2093
P1476
Training artificial neural net ...... data using genetic algorithms.
@en
P2093
Carina Strand
Jonas Kalderstam
Mårten Fernö
Patrik Edén
Pär-Ola Bendahl
P304
P356
10.1016/J.ARTMED.2013.03.001
P577
2013-04-10T00:00:00Z