Journal of Applied Pharmacy
Open Access

Atoosa Haghighizadeh

Publications

• Research Article
  A Mathematical Model Based on an Adaptive Neuro-Fuzzy Inference System for Matrixes Including Indomethacin
  Author(s): Salim Mirshahi, Amineh Tajani, Atoosa Haghighizadeh, Ali Karimpour and Omid RajabiSalim Mirshahi, Amineh Tajani, Atoosa Haghighizadeh, Ali Karimpour and Omid Rajabi
  
  This study is concerned about prediction of dissolution rate of Insoluble drugs from solid dispersion (SD) polymer matrixes by an Adaptive Neuro-Fuzzy Inference System (ANFIS). Polyethylene Glycols (PEGs) as the SD with different molecular weights were provided and dissolution rate of indomethacin (IND) was obtained experimentally. A USP dissolution method was used to monitor the dissolution profiles of matrixes. The numbers of rules were trained in a systematic procedure using the experimental data. Comparison of IND dissolution rate from different matrixes, Area under the Curve (AUC) of absorbance vs. time diagrams in the first 25 min for 72 different samples was determined. Results show a high correlation between observed and predicted data (r2=0.85). The calculated root mean square error for the results of the ANFIS model is equal to 1.02. The index of area AUC in the first 25 min.. View More»
  

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