Application of natural language processing to predict final recommendation of Brazilian health technology assessment reports.
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| Title: | Application of natural language processing to predict final recommendation of Brazilian health technology assessment reports. |
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| Authors: | 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. |
| Source: | 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. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Cambridge University Press Country of Publication: England NLM ID: 8508113 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-6348 (Electronic) Linking ISSN: 02664623 NLM ISO Abbreviation: Int J Technol Assess Health Care Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-6348 |
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| DOI: | 10.1017/S0266462324000163 |
