Creation of a Tablet Database Containing Several Active Ingredients and Prediction of Their Pharmaceutical Characteristics Based on Ensemble Artificial Neural Networks

A tablet database containing several active ingredients for a standard tablet formulation was created. Tablet tensile strength (TS) and disintegration time (DT) were measured before and after storage for 30 days at 40°C and 75% relative humidity. An ensemble artificial neural network (EANN) was used...

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Veröffentlicht in:Journal of pharmaceutical sciences 2010-10, Vol.99 (10), p.4201-4214
Hauptverfasser: Takagaki, Keisuke, Arai, Hiroaki, Takayama, Kozo
Format: Artikel
Sprache:eng
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