Prediction of Dissolution Data Integrated in Tablet Database Using Four-Layered Artificial Neural Networks.

Takayama, Kozo; Kawai, Shota; Obata, Yasuko; Todo, Hiroaki; Sugibayashi, Kenji

Takayama, Kozo; Kawai, Shota; Obata, Yasuko; Todo, Hiroaki; Sugibayashi, Kenji.

Afiliação

Takayama K; Department of Pharmaceutical Sciences, Faculty of Pharmacy and Pharmaceutical Sciences, Josai University.
Kawai S; Department of Pharmaceutical Sciences, Hoshi University.
Obata Y; Department of Pharmaceutical Sciences, Hoshi University.
Todo H; Department of Pharmaceutical Sciences, Faculty of Pharmacy and Pharmaceutical Sciences, Josai University.
Sugibayashi K; Department of Pharmaceutical Sciences, Faculty of Pharmacy and Pharmaceutical Sciences, Josai University.

Chem Pharm Bull (Tokyo) ; 65(10): 967-972, 2017.

Article em En | MEDLINE | ID: mdl-28966281

Assuntos

Liberação Controlada de Fármacos/fisiologia; Redes Neurais de Computação; Comprimidos/química; Bases de Dados Factuais; Composição de Medicamentos; Análise de Regressão; Solubilidade

Palavras-chave

artificial neural network; dissolution rate; pharmaceutical active ingredient; physicochemical property; powder property; tablet database

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Comprimidos / Redes Neurais de Computação / Liberação Controlada de Fármacos Idioma: En Ano de publicação: 2017 Tipo de documento: Article

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