Data mining techniques applied in the analysis of historical data

Understanding the effect of characteristics formulation and process parameters on physicochemical properties a pharmaceutical product is very significant for development solid dosage forms, as knowledge gained small scale batches in early phase used later phases lifecycle or other products. One approaches gaining better understanding effects production quality finished to apply systematical approach which concerns performing experiments according predefined factorial fractional experimental plan. However, often it case that there are available data gathered non-systematic way, because were not performed predetermined In such case, mining techniques could be extract useful from historical set. this research, possibility using several build models describe acid resistance dissolution profile model drug gastro-resistant pellets. The research duloxetine hydrochloride group antidepressants. It belongs BCS 2 class active ingredients, therefore necessary release characterized by higher number tested time points. developed can planning future laboratory trials,