How Machine Learning Can Help the Classification of Treatment Outcomes of Tuberculosis: A Systematic Review

Authors

Herverton, Maicon

Ferreira Da Silva Barros, Lino

Rogerio Da, Sebastião

Neto, Silva

Gabriela De Almeida Rodrigues, Maria

De Souza Sampaio, Vanderson

Endo, Patricia Takako

Published

January 1, 2023

Citation: APA

Herverton, M., Ferreira Da Silva Barros, L., Rogerio Da, S., Neto, S., Gabriela De Almeida Rodrigues, M., De Souza Sampaio, V., & Endo, P. T. (2023). How Machine Learning Can Help the Classification of Treatment Outcomes of Tuberculosis: A Systematic Review. In Hawaii International Conference on System Sciences.

Citation: BibTeX

@inproceedings{HervertonFerreiraDaSilvaBarrosRogerioDaEtAl2023,
  file       = {data/pdfs/2023/HervertonFerreiraDaSilvaBarrosRogerioDaEtAl2023.pdf},
  author     = {Herverton, Maicon and Ferreira Da Silva Barros, Lino and Rogerio Da, Sebastião and Neto, Silva and Gabriela De Almeida Rodrigues, Maria and De Souza Sampaio, Vanderson and Endo, Patricia Takako},
  booktitle  = {Hawaii International Conference on System Sciences},
  title      = {How Machine Learning Can Help the Classification of Treatment Outcomes of Tuberculosis: A Systematic Review},
  year       = {2023}
}

Citation: RIS

TY  - CONF
AU  - Herverton, Maicon
AU  - Ferreira Da Silva Barros, Lino
AU  - Rogerio Da, Sebastião
AU  - Neto, Silva
AU  - Gabriela De Almeida Rodrigues, Maria
AU  - De Souza Sampaio, Vanderson
AU  - Endo, Patricia Takako
TI  - How Machine Learning Can Help the Classification of Treatment Outcomes of Tuberculosis: A Systematic Review
T2  - Hawaii International Conference on System Sciences
PY  - 2023
ER  -