A genetic algorithm to select variables in logistic regression: example in the domain of myocardial infarction.
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The Applications of Genetic Algorithms in MedicineEffects of data anonymization by cell suppression on descriptive statistics and predictive modeling performanceMiningABs: mining associated biomarkers across multi-connected gene expression datasetsGenetic algorithm with logistic regression for prediction of progression to Alzheimer's diseaseAn adaptive genetic algorithm for selection of blood-based biomarkers for prediction of Alzheimer's disease progressionHiding information by cell suppression.A genetic algorithm for variable selection in logistic regression analysis of radiotherapy treatment outcomes.Evaluation of optimization techniques for variable selection in logistic regression applied to diagnosis of myocardial infarction.Variable selection in Logistic regression model with genetic algorithm.Effects of Data Anonymization by Cell Suppression on Descriptive Statistics and Predictive Modeling Performance.
P2860
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P2860
A genetic algorithm to select variables in logistic regression: example in the domain of myocardial infarction.
description
1999 nî lūn-bûn
@nan
1999年の論文
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1999年学术文章
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1999年学术文章
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1999年学术文章
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1999年学术文章
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@zh-sg
1999年學術文章
@yue
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1999年學術文章
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name
A genetic algorithm to select ...... main of myocardial infarction.
@ast
A genetic algorithm to select ...... main of myocardial infarction.
@en
type
label
A genetic algorithm to select ...... main of myocardial infarction.
@ast
A genetic algorithm to select ...... main of myocardial infarction.
@en
prefLabel
A genetic algorithm to select ...... main of myocardial infarction.
@ast
A genetic algorithm to select ...... main of myocardial infarction.
@en
P2860
P1476
A genetic algorithm to select ...... omain of myocardial infarction
@en
P2093
L Ohno-Machado
S Vinterbo
P2860
P304
P577
1999-01-01T00:00:00Z