PEDOBESITY: Development of Intelligent Multi-level Information Systems and Specialized Artificial Intelligence Algorithms for Personalized Management of Obesity in Childhood and Adolescence

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PEDOBESITY: Development of Intelligent Multi-level Information Systems and Specialized Artificial Intelligence Algorithms for Personalized Management of Obesity in Childhood and Adolescence

https://www.karger.com/Journal/Issue/278449

Hormone Research in Paediatrics
Vol. 91, Suppl. 1, 2019
Issue release date: September 2019
European Society for Paediatric Endocrinology (ESPE)
58th Annual Meeting, Vienna, September 2019: Abstracts

P2 Poster presentation / Fat, Metabolism and Obesity

P2-140 / PEDOBESITY: Development of Intelligent Multi-level Information Systems and Specialized Artificial Intelligence Algorithms for Personalized Management of Obesity in Childhood and Adolescence

Penio Kassari 1,2, Antonis Billiris 3, Haralampos Karanikas 3,4, Eleftherios Thireos 4, Nikolaos Drakoulis 5, Ioannis Manios 6, Evangelia Charmandari 1,2

  1. Division of Endocrinology and Metabolism, Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
  2. Out-patient Clinic for the Prevention and Management of Overweight and Obesity, Division of Endocrinology, Metabolism and Diabetes, First Department of Pediatrics, National and Kapodistrian University of Athens Medical School, “Aghia Sophia” Children’s Hospital, Athens, Greece
  3. Datamed SA, Athens Greece
  4. The Athens Medical Society, Athens, Greece
  5. Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens
  6. Department of Nutrition & Dietetics, School of Health Science & Education, Harokopio Univerisity of Athens, Kallithea – Athens, Greece

Conference Proceedings / Horm Res Paediatr 2019;91(suppl 1):1–682, DOI: 10.1159/000501868