A data-driven approach utilizing a raw material database and machine learning tools to predict the disintegration time of orally fast-disintegrating tablet formulations

• Main Authors: Navyaja Kota (Author), Raju Kamaraj (Author), S. Murugaanandam (Author), Mohan Bharathi (Author), T. Sudheer Kumar (Author)
• Format: Book
• Published: Pensoft Publishers, 2024-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Orally fast-disintegrating tablets (OFDTs) have seen a significant increase in popularity over the past decade, becoming a rapidly expanding sector in the pharmaceutical market. The aim of the current study is to use machine learning (ML) methods to predict the disintegration time (DT) of OFDTs. In...