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

Olivera, André Rodrigues; Roesler, Valter; Iochpe, Cirano; Schmidt, Maria Inês; Vigo, Álvaro; Barreto, Sandhi Maria; Duncan, Bruce Bartholow.
Säo Paulo med. j; 135 (3), 2017
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 Longitudinal ...
Algoritmos, Teorema de Bayes, Brasil, Simulación por Computador/normas, Diabetes Mellitus Tipo 2/diagnóstico, Estudios de Factibilidad, Modelos Logísticos, Redes Neurales de la Computación, Reproducibilidad de los Resultados, Sensibilidad y Especificidad, Aprendizaje Automático Supervisado/normas
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