RESUMO

TUSS is a Brazilian health procedure standard used by the supplementary health providers. Currently, there is no available mapping between TUSS and other standards. In this paper, we analyze performance of two term weighting algorithms when classifying TUSS procedure description. The TF-IDF classified 99% of chapters, 89% of groups, and 33% of subgroups; Doc2Vec classified 65%, 43%, and 33%, respectively, showing that those algorithms can support creation of an accurate mapping between those procedure standards.

Assuntos

Algoritmos , Unified Medical Language System , Brasil , Processamento de Linguagem Natural