(Q52316053)

English

Statistical approach to neural network model building for gentamicin peak predictions.

scientific article published in January 1996

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scholarly article

1 reference

Europe PubMed Central

29 April 2018

http://europepmc.org/abstract/MED/8926586

Statistical approach to neural network model building for gentamicin peak predictions. (English)

1 reference

Europe PubMed Central

29 April 2018

http://europepmc.org/abstract/MED/8926586

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author name string

Smith BP

1

1 reference

Europe PubMed Central

29 April 2018

http://europepmc.org/abstract/MED/8926586

Brier ME

2

1 reference

Europe PubMed Central

29 April 2018

http://europepmc.org/abstract/MED/8926586

language of work or name

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publication date

1 January 1996

1 reference

Europe PubMed Central

29 April 2018

http://europepmc.org/abstract/MED/8926586

Journal of Pharmaceutical Sciences

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Europe PubMed Central

29 April 2018

http://europepmc.org/abstract/MED/8926586

85

1 reference

Europe PubMed Central

29 April 2018

http://europepmc.org/abstract/MED/8926586

1

1 reference

Europe PubMed Central

29 April 2018

http://europepmc.org/abstract/MED/8926586

65-69

1 reference

Europe PubMed Central

29 April 2018

http://europepmc.org/abstract/MED/8926586

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Application of neural networks to pharmacodynamics.

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Feasibility of developing a neural network for prediction of human pharmacokinetic parameters from animal data

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Introduction to backpropagation neural network computation

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Neural network predicted peak and trough gentamicin concentrations.

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A simple procedure for pruning back-propagation trained neural networks.

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Prediction of creatinine clearance from serum creatinine

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A new look at the statistical model identification

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Estimating the Dimension of a Model

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Population pharmacokinetics of the active metabolite of nabumetone in renal dysfunction

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Approximation capabilities of multilayer feedforward networks

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Identifiers

10.1021/JS950271L

1 reference

Europe PubMed Central

29 April 2018

http://europepmc.org/abstract/MED/8926586

1 reference

Europe PubMed Central

29 April 2018

http://europepmc.org/abstract/MED/8926586

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