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

Abstract

Authors

• Marilia Mastrocolla de Almeida Cardoso
  Health Technology Assessment Unit, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.
• Juliana Machado-Rugolo
  Health Technology Assessment Unit, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.
• Lehana Thabane
  Department of Health Research Methods, Evidence, and Impact, McMaster University, 1280 Main St W, Hamilton, ON, Canada.
• Naila Camila da Rocha
  Laboratory of Data Science and Predictive Analysis in Health, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.
• Abner Mácula Pacheco Barbosa
  Laboratory of Data Science and Predictive Analysis in Health, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.
• Denis Satoshi Komoda
  Department of Collective Health, University of Campinas, Campinas, Brazil.
• Juliana Tereza Coneglian de Almeida
  Health Technology Assessment Unit, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.
• Daniel da Silva Pereira Curado
  Department of Management and Incorporation of Health Technologies, Ministry of Health, Brasilia, Distrito Federal, Brazil.
• Silke Anna Theresa Weber
  Health Technology Assessment Unit, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.
• Luís Gustavo Modelli de Andrade
  Department of Internal Medicine, Botucatu Medical School, University of São Paulo State-UNESP, Avenida Professor Mario Rubens Montenegro, Botucatu, São Paulo, 18618-687, Brazil.

Keywords

External Resources