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

Overview of attention for article published in Sao Paulo Medical Journal, April 2017
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1 Q&A thread

Citations

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57 Dimensions

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68 Mendeley
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Title
Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study
Published in
Sao Paulo Medical Journal, April 2017
DOI 10.1590/1516-3180.2016.0309010217
Pubmed ID
Authors

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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 15%
Student > Master 10 15%
Student > Bachelor 7 10%
Student > Doctoral Student 6 9%
Researcher 5 7%
Other 6 9%
Unknown 24 35%
Readers by discipline Count As %
Computer Science 17 25%
Engineering 12 18%
Mathematics 3 4%
Nursing and Health Professions 2 3%
Psychology 2 3%
Other 8 12%
Unknown 24 35%