Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study

André Rodrigues Olivera, Valter Roesler, Cirano Iochpe, Maria Inês Schmidt, Álvaro Vigo, Sandhi Maria Barreto, Bruce Bartholow Duncan

Open source

DOI: 10.1590/1516-3180.2016.0309010217
Published: 2017-06
Container: Sao Paulo Medical Journal
Publisher: FapUNIFESP (SciELO)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1590/1516-3180.2016.0309010217,
  title = {Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study},
  author = {André Rodrigues Olivera and Valter Roesler and Cirano Iochpe and Maria Inês Schmidt and Álvaro Vigo and Sandhi Maria Barreto and Bruce Bartholow Duncan},
  year = {2017},
  journal = {Sao Paulo Medical Journal},
  doi = {10.1590/1516-3180.2016.0309010217},
  url = {https://doi.org/10.1590/1516-3180.2016.0309010217}
}

RIS

TY  - JOUR
TI  - Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study
AU  - André Rodrigues Olivera
AU  - Valter Roesler
AU  - Cirano Iochpe
AU  - Maria Inês Schmidt
AU  - Álvaro Vigo
AU  - Sandhi Maria Barreto
AU  - Bruce Bartholow Duncan
PY  - 2017
JO  - Sao Paulo Medical Journal
DO  - 10.1590/1516-3180.2016.0309010217
UR  - https://doi.org/10.1590/1516-3180.2016.0309010217
ER  -

APA

Olivera, A. R., Roesler, V., Iochpe, C., Schmidt, M. I., Vigo, Á., Barreto, S. M., & Duncan, B. B. (2017). Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study. Sao Paulo Medical Journal. https://doi.org/10.1590/1516-3180.2016.0309010217

Source records

crossref · retrieved 2026-11-08T03:01:56.578Z