Literature DB >> 7586902

The backpropagation neural network--a Bayesian classifier. Introduction and applicability to pharmacokinetics.

R J Erb1.   

Abstract

Mesh：

Year:  1995        PMID： 7586902     DOI： 10.2165/00003088-199529020-00002

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN： 0312-5963            Impact factor:   6.447


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  18 in total

1.  Classification of crossed immunoelectrophoretic patterns using digital image processing and artificial neural networks.

Authors:  I Søndergaard; B N Krath; M Hagerup
Journal:  Electrophoresis       Date:  1992-07       Impact factor: 3.535

2.  The perceptron: a probabilistic model for information storage and organization in the brain.

Authors:  F ROSENBLATT
Journal:  Psychol Rev       Date:  1958-11       Impact factor: 8.934

3.  Neural networks in pharmacodynamic modeling. Is current modeling practice of complex kinetic systems at a dead end?

Authors:  P Veng-Pedersen; N B Modi
Journal:  J Pharmacokinet Biopharm       Date:  1992-08

4.  Determination of eukaryotic protein coding regions using neural networks and information theory.

Authors:  R Farber; A Lapedes; K Sirotkin
Journal:  J Mol Biol       Date:  1992-07-20       Impact factor: 5.469

5.  Application of neural computing in pharmaceutical product development.

Authors:  A S Hussain; X Q Yu; R D Johnson
Journal:  Pharm Res       Date:  1991-10       Impact factor: 4.200

6.  Adaptive pattern classification and universal recoding: II. Feedback, expectation, olfaction, illusions.

Authors:  S Grossberg
Journal:  Biol Cybern       Date:  1976-08-30       Impact factor: 2.086

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

Authors:  A S Hussain; R D Johnson; N N Vachharajani; W A Ritschel
Journal:  Pharm Res       Date:  1993-03       Impact factor: 4.200

8.  Development of predictive models of laboratory animal growth using artificial neural networks.

Authors:  D Yee; M G Prior; L Z Florence
Journal:  Comput Appl Biosci       Date:  1993-10

9.  Pattern recognition of the electroencephalogram by artificial neural networks.

Authors:  G Jandó; R M Siegel; Z Horváth; G Buzsáki
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1993-02

10.  Neural network predicted peak and trough gentamicin concentrations.

Authors:  M E Brier; J M Zurada; G R Aronoff
Journal:  Pharm Res       Date:  1995-03       Impact factor: 4.200
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  4 in total

Review 1.  Prediction of hepatic metabolic clearance: comparison and assessment of prediction models.

Authors:  J Zuegge; G Schneider; P Coassolo; T Lavé
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

2.  Empirical versus mechanistic modelling: comparison of an artificial neural network to a mechanistically based model for quantitative structure pharmacokinetic relationships of a homologous series of barbiturates.

Authors:  I S Nestorov; S T Hadjitodorov; I Petrov; M Rowland
Journal:  AAPS PharmSci       Date:  1999

Review 3.  Individualising aminoglycoside dosage regimens after therapeutic drug monitoring: simple or complex pharmacokinetic methods?

Authors:  M M Tod; C Padoin; O Petitjean
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

4.  Harnessing ontology and machine learning for RSO classification.

Authors:  Bin Liu; Li Yao; Dapeng Han
Journal:  Springerplus       Date:  2016-09-26
  4 in total

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