Glucose time series complexity as a predictor of type 2 diabetes

@inproceedings{Castro2017GlucoseTS,
  title={Glucose time series complexity as a predictor of type 2 diabetes},
  author={Carmen Rodr{\'i}guez de Castro and Luis Vigil and Borja Vargas and Emilio Garc{\'i}a Delgado and Rafael Garc{\'i}a Carretero and Juli{\'a}n Ruiz‐Galiana and Manuel Varela},
  booktitle={Diabetes/metabolism research and reviews},
  year={2017}
}
BACKGROUND Complexity analysis of glucose profile may provide valuable information about the gluco-regulatory system. We hypothesized that a complexity metric (detrended fluctuation analysis, DFA) may have a prognostic value for the development of type 2 diabetes in patients at risk. METHODS A total of 206 patients with any of the following risk factors (1) essential hypertension, (2) obesity or (3) a first-degree relative with a diagnosis of diabetes were included in a survival analysis… CONTINUE READING
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