Publications by authors named "Cleilton Rocha"

Objective: Long term behavioural disturbances and interventions in healthy habits (mainly eating and physical activity) are the primary cause of childhood obesity. Current approaches for obesity prevention based on health information extraction lack the integration of multi-modal datasets and the provision of a dedicated Decision Support System (DSS) for health behaviour assessment and coaching of children.

Methods: Continuous co-creation process has been applied in the frame of the Design Thinking Methodology, involving children, educators and healthcare professional in the whole process.

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Article Synopsis
  • Digital health tools like Computerized Decision Support (CDS) and Machine Learning (ML) show promise in preventing and treating childhood obesity by utilizing innovative technologies.
  • A systematic review of existing literature revealed 8 studies on CDS and 9 on ML that met eligibility criteria, all demonstrating statistically significant outcomes like improved accuracy in addressing childhood obesity.
  • Most interventional studies were randomized controlled trials, highlighting the effectiveness of these digital approaches in understanding and mitigating childhood obesity.
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