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

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

ABSTRACT CONTEXT AND OBJECTIVE: Type 2 diabetes is a chronic disease associated with a wide range of serious health complications that have a major impact on overall health. The aims here were to develop and validate predictive models for detecting undiagnosed diabetes using data from the Longitud...

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Bibliographic Details
Main Authors: André Rodrigues Olivera, Valter Roesler, Cirano Iochpe, Maria Inês Schmidt, Álvaro Vigo, Sandhi Maria Barreto, Bruce Bartholow Duncan
Format: Article
Language:English
Published: Associação Paulista de Medicina
Series:São Paulo Medical Journal
Subjects:
Aprendizado de máquina supervisionado
Técnicas de apoio para a decisão
Mineração de dados
Modelos estatísticos
Diabetes mellitus tipo 2
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802017000300234&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802017000300234&lng=en&tlng=en

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