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

Autor: Cardoso MMA; Health Technology Assessment Unit, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.; Laboratory of Data Science and Predictive Analysis in Health, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil., Machado-Rugolo J; Health Technology Assessment Unit, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.; Laboratory of Data Science and Predictive Analysis in Health, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil., Thabane L; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.; Biostatistics Unit, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.; Faculty of Health Sciences, University of Johannesburg, Johannesburg, South Africa., da Rocha NC; Laboratory of Data Science and Predictive Analysis in Health, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil., Barbosa AMP; Laboratory of Data Science and Predictive Analysis in Health, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.; Department of Ophthalmology, Otorhinolaryngology and Head and Neck Surgery, Medical School (FMB) of São Paulo State University, Botucatu, Brazil., Komoda DS; Department of Collective Health, University of Campinas, Campinas, Brazil., de Almeida JTC; Health Technology Assessment Unit, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.; Laboratory of Data Science and Predictive Analysis in Health, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil., Curado DDSP; Department of Management and Incorporation of Health Technologies, Ministry of Health, Brasilia, Distrito Federal, Brazil., Weber SAT; Health Technology Assessment Unit, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.; Department of Ophthalmology, Otorhinolaryngology and Head and Neck Surgery, Medical School (FMB) of São Paulo State University, Botucatu, Brazil., de Andrade LGM; Laboratory of Data Science and Predictive Analysis in Health, Hospital das Clínicas da Faculdade de Medicina de Botucatu, Botucatu, Brazil.; Department of Internal Medicine, Medical School (FMB) of São Paulo State University, Botucatu, Brazil.

Publikováno v: International journal of technology assessment in health care [Int J Technol Assess Health Care] 2024 Apr 12; Vol. 40 (1), pp. e19. Date of Electronic Publication: 2024 Apr 12.

Exploring the COVID-19 Pandemic's Impact on the Health Technology Assessment Process of the National Commission for the Incorporation of Technologies Into the Brazilian Health System.

Autor: Cardoso MMA; Health Technology Assessment Center, Hospital das Clínicas of Medical School (HCFMB), Brazil, São Paulo, Botucatu; Graduate Nursing Program, São Paulo State University, Brazil, São Paulo, Botucatu; Data Science and Predictive Analysis in Health Laboratory, Hospital das Clínicas of Medical School (HCFMB), Brazil, São Paulo, Botucatu. Electronic address: marilia.cardoso@unesp.br., Thabane L; Graduate Nursing Program, São Paulo State University, Brazil, São Paulo, Botucatu; Department of Health Research Methods, Evidence, and Impact, McMaster University, Canada, Ontario, Hamilton; Biostatistics Unit, St Joseph's Healthcare Hamilton, Canada, Ontario, Hamilton; Faculty of Health Sciences, University of Johannesburg, South Africa, Johannesburg., Andrade LGM; Data Science and Predictive Analysis in Health Laboratory, Hospital das Clínicas of Medical School (HCFMB), Brazil, São Paulo, Botucatu; Department of Internal Medicine, São Paulo State University, Brazil, São Paulo, Botucatu., Curado DDSP; Department of Management and Incorporation of Health Technologies, Ministry of Health, Brazil, Federal District, Brasilia., Komoda DS; Department of Collective Health, University of Campinas, Brazil, São Paulo, Campinas., Machado-Rugolo J; Health Technology Assessment Center, Hospital das Clínicas of Medical School (HCFMB), Brazil, São Paulo, Botucatu; Data Science and Predictive Analysis in Health Laboratory, Hospital das Clínicas of Medical School (HCFMB), Brazil, São Paulo, Botucatu., Lima SAM; Health Technology Assessment Center, Hospital das Clínicas of Medical School (HCFMB), Brazil, São Paulo, Botucatu; Nursing Department, São Paulo State University, Brazil, São Paulo, Botucatu., Weber SAT; Health Technology Assessment Center, Hospital das Clínicas of Medical School (HCFMB), Brazil, São Paulo, Botucatu; Department of Ophthalmology, Otorhinolaryngology and Head & Neck Surgery, São Paulo State University, Brazil, São Paulo, Botucatu.

Publikováno v: Value in health regional issues [Value Health Reg Issues] 2023 Sep; Vol. 37, pp. 18-22. Date of Electronic Publication: 2023 May 15.

Direct cost of systemic arterial hypertension and its complications in the circulatory system from the perspective of the Brazilian public health system in 2019.

Autor: Curado DDSP; Graduate Program in Public Health, University of Brasilia, Brasilia, Federal District, Brazil., Gomes DF; Graduate Program in Public Health, University of Brasilia, Brasilia, Federal District, Brazil., Silva TBC; Faculty of Pharmacy, Department of Medicine, Federal University of Bahia, Salvador, Bahia, Brazil., Almeida PHRF; Faculty of Pharmacy, Graduate Program in Medicines and Pharmaceutical Services, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil., Tavares NUL; Graduate Program in Public Health, University of Brasilia, Brasilia, Federal District, Brazil., Areda CA; Faculty of Ceilandia, University of Brasilia, Brasilia, Federal District, Brazil., da Silva EN; Graduate Program in Public Health, University of Brasilia, Brasilia, Federal District, Brazil.; Faculty of Ceilandia, University of Brasilia, Brasilia, Federal District, Brazil.

Publikováno v: PloS one [PLoS One] 2021 Jun 10; Vol. 16 (6), pp. e0253063. Date of Electronic Publication: 2021 Jun 10 (Print Publication: 2021).