How Artificial Intelligence Can Help the Prediction of Treatment Outcomes of Tuberculosis: A Systematic Literature Review

Authors

da Silva Barros, Maicon Herverton Lino Ferreira

da Silva Neto, Sebastião Rogério

Rodrigues, Maria Gabriela Almeida

de Souza Sampaio, Vanderson

Endo, Patricia Takako

Published

January 1, 2023

Doi

https://doi.org/10.24251/HICSS.2023.173

Citation: APA

da Silva Barros, M. H. L. F., da Silva Neto, S. R., Rodrigues, M. G. A., de Souza Sampaio, V., & Endo, P. T. (2023). How Artificial Intelligence Can Help the Prediction of Treatment Outcomes of Tuberculosis: A Systematic Literature Review. In Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2023.173.

Citation: BibTeX

@inproceedings{daSilvaBarrosdaSilvaNetoRodriguesEtAl2023,
  file       = {data/pdfs/2023/daSilvaBarrosdaSilvaNetoRodriguesEtAl2023.pdf},
  doi        = {10.24251/HICSS.2023.173},
  author     = {da Silva Barros, Maicon Herverton Lino Ferreira and da Silva Neto, Sebastião Rogério and Rodrigues, Maria Gabriela Almeida and de Souza Sampaio, Vanderson and Endo, Patricia Takako},
  booktitle  = {Hawaii International Conference on System Sciences},
  title      = {How Artificial Intelligence Can Help the Prediction of Treatment Outcomes of Tuberculosis: A Systematic Literature Review},
  year       = {2023},
  url        = {https://hdl.handle.net/10125/102803},
  dblp_key   = {https://dblp.org/rec/conf/hicss/BarrosNRSE23}
}

Citation: RIS

TY  - CONF
AU  - da Silva Barros, Maicon Herverton Lino Ferreira
AU  - da Silva Neto, Sebastião Rogério
AU  - Rodrigues, Maria Gabriela Almeida
AU  - de Souza Sampaio, Vanderson
AU  - Endo, Patricia Takako
TI  - How Artificial Intelligence Can Help the Prediction of Treatment Outcomes of Tuberculosis: A Systematic Literature Review
T2  - Hawaii International Conference on System Sciences
PY  - 2023
DO  - 10.24251/HICSS.2023.173
UR  - https://hdl.handle.net/10125/102803
ER  -