Revolutionizing pediatric obesity intervention strategies: From traditional growth reference tools to AI-enabled

Duygu Çelik Ertuğrul1, Neşe Akcan2, Yıltan Bitirim1

  • 1Department of Computer Engineering, Engineering Faculty, Eastern Mediterranean University, 99628 Famagusta, North Cyprus, via Mersin-10, Turkey.

Insights

The Pediatric Obesity and Weight Management (PedOWM) tool effectively assesses childhood obesity, showing high accuracy and concordance with expert decisions. This clinical decision support system aids in timely interventions for better child health outcomes.

Area of Science:

  • Pediatric Endocrinology
  • Public Health Informatics
  • Clinical Decision Support Systems

Background:

  • Childhood obesity presents a significant public health challenge, necessitating effective monitoring and early intervention strategies.
  • Untreated childhood obesity can lead to severe physical development issues and long-term health complications.
  • Accurate assessment tools are vital for managing pediatric weight concerns.

Purpose of the Study:

  • To evaluate the performance and clinical relevance of the Pediatric Obesity and Weight Management (PedOWM) tool.
  • To assess PedOWM's capability as a semantic rule-based Clinical Decision Support System (CDSS) for childhood obesity management.
  • To validate PedOWM against national anthropometric data and established growth reference tools.

Main Methods:

  • Retrospective analysis of auxological data from 100 Turkish children across various BMI categories.
  • Comparison of PedOWM's anthropometric analyses (BMI, Z-scores, percentiles) with ÇEDD-Çözüm, BCM, and CDC reference tools.
  • Evaluation included visual plot comparisons, expert pediatric endocrinologist assessment, and statistical analysis of treatment recommendations.

Main Results:

  • PedOWM demonstrated high consistency with the ÇEDD-Çözüm reference tool, indicating reliability and validity.
  • Discrepancies with CDC and BCM tools were noted, attributed to differing reference populations and age ranges (under two years).
  • PedOWM's treatment recommendations achieved 99.5% accuracy, 97.1% precision, 97.5% recall, and 97.6% F1-score compared to expert clinical decisions.

Conclusions:

  • The PedOWM tool shows promising applicability, effectiveness, and efficiency in assessing and managing childhood obesity.
  • Increased societal awareness and timely interventions, facilitated by tools like PedOWM, can significantly improve children's health outcomes.
  • PedOWM supports collaborative care among healthcare professionals, parents, patients, and dietitians for comprehensive obesity management.
Abstract

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