Abstract
This project aims to apply data mining techniques and machine learning to TB treatment data. The application of all steps related to the knowledge discovery process in databases (KDD) can allow a greater understanding of the concepts and patterns in the TB domain. In particular, unsupervised machine learning (AM) algorithms will be applied. This analysis is expected to identify unknown pa…