Prediction of metabolic syndrome and its associated risk factors in patients with chronic kidney disease using machine learning techniques
Jalila Andréa Sampaio Bittencourt,
Carlos Magno Sousa Junior,
Ewaldo Eder Carvalho Santana
et al.
Abstract:Introduction: Chronic kidney disease (CKD) and metabolic syndrome (MS) are recognized as public health problems which are related to overweight and cardiometabolic factors. The aim of this study was to develop a model to predict MS in people with CKD. Methods: This was a prospective cross-sectional study of patients from a reference center in São Luís, MA, Brazil. The sample included adult volunteers classified according to the presence of mild or severe CKD. For MS tracking, the k-nearest neighbors (KNN) cla… Show more
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