Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers
Conclusions: Detecting severe early childhood obesity is essential for the intervention potential in children at the highest long-term risk of developing comorbidities related to obesity and excluding patients with underlying pathological and non-syndromic causes of obesity assists in developing a high-precision cohort for genetic study. Further such phenotyping efforts inform future practical application in health care environments utilizing clinical decision support....
Source: Applied Clinical Informatics - Category: Information Technology Source Type: research
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