On Machine Learning Approach for the Design of Pharmaceutical Technology of Tablets: Acetyl Salicylic Acid with Atorvastatin

摘要

The objective of this work is to offer an approach of application of machine learning (ML) in the problem of design of pharmaceutical technology of tablets, which basically consists of choosing qualitative and quantitative content of the corresponding excipients, enabling us necessary values of pharmaceutical and technological characteristics. At the first stage, we choose technology and qualitative content of tablets, including filler, acidity regulator, disintegrant, binder and stabilizer. After selecting excipients ensuring some acceptable values of output variables for tablets, at the second stage, the problem of optimization of some objective variable is considered subject to quantitative content of excipients. An example, which is devoted to the development of a technology of tablets of acetylsalicylic acid with atorvastatin is considered.