Publications by authors named "Danilo F de Carvalho"

Article Synopsis
  • In diabetes management, meal events significantly impact blood glucose variations but are influenced by various external factors, necessitating a personalized approach for meal detection.
  • The proposed method involves training machine learning models to identify individual meal response patterns in blood glucose (BG) signals, filtering out noise from non-meal events.
  • Results demonstrate effective daily meal detection with a reasonable balance between true meal identification and false alarms, particularly when ample reliable training data is available.
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