Application of natural language processing to predict final recommendation of Brazilian health technology assessment reports.

Marilia Mastrocolla de Almeida CardosoJuliana Machado-RugoloLehana ThabaneNaila Camila da RochaAbner Mácula Pacheco BarbosaDenis Satoshi KomodaJuliana Tereza Coneglian de AlmeidaDaniel da Silva Pereira CuradoSilke Anna Theresa WeberLuis Gustavo Modelli de Andrade

Published in: International journal of technology assessment in health care (2024)

NLP model can predict health technology incorporation outcomes, opening avenues for future research using HTA reports from other agencies. This model has the potential to enhance HTA system efficiency by offering initial insights and decision-making criteria, thereby benefiting healthcare experts.

Keyphrases

healthcare
public health
decision making
health information
mental health
adverse drug
autism spectrum disorder
emergency department
adipose tissue
risk assessment
health insurance