Kerrilynn C Hennessey, Mary P McGowan, Hanyuan Shi, Terry Sturke, Roshni S Kalkur, Adam J Prince, Shoshana H Bardach, Nichole M Rogovoy, Marc A Hofley
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Machine-Learning Assisted Screening with FIND FH® for Familial Hypercholesterolemia Among Youth.
Although the American Academy of Pediatrics recommends universal lipid screening among children to find cases of familial hypercholesterolemia, such screening is rarely performed. We report the first clinical use of a novel machine learning model (FIND FH®) to identify youth at increased risk of familial hypercholesterolemia and results from associated outreach.
期刊介绍:
The Journal of Pediatrics is an international peer-reviewed journal that advances pediatric research and serves as a practical guide for pediatricians who manage health and diagnose and treat disorders in infants, children, and adolescents. The Journal publishes original work based on standards of excellence and expert review. The Journal seeks to publish high quality original articles that are immediately applicable to practice (basic science, translational research, evidence-based medicine), brief clinical and laboratory case reports, medical progress, expert commentary, grand rounds, insightful editorials, “classic” physical examinations, and novel insights into clinical and academic pediatric medicine related to every aspect of child health. Published monthly since 1932, The Journal of Pediatrics continues to promote the latest developments in pediatric medicine, child health, policy, and advocacy.
Topics covered in The Journal of Pediatrics include, but are not limited to:
General Pediatrics
Pediatric Subspecialties
Adolescent Medicine
Allergy and Immunology
Cardiology
Critical Care Medicine
Developmental-Behavioral Medicine
Endocrinology
Gastroenterology
Hematology-Oncology
Infectious Diseases
Neonatal-Perinatal Medicine
Nephrology
Neurology
Emergency Medicine
Pulmonology
Rheumatology
Genetics
Ethics
Health Service Research
Pediatric Hospitalist Medicine.