Familial Hypercholesterolemia Detection Through Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Familial Hypercholesterolemia Detection Through Machine Learning Algorithms

Published:2024-08 Issue: Volume: Page:101181
ISSN:2772-963X
Container-title:JACC: Advances
language:en
Short-container-title:JACC: Advances

Author:

Reeskamp Laurens F.^ORCID,Annink Maxim E.,Schonck Willemijn A.M.^ORCID

Publisher

Elsevier BV

Reference14 articles.

1. Worldwide experience of homozygous familial hypercholesterolaemia: retrospective cohort study;Tromp;Lancet,2022

2. Homozygous familial hypercholesterolaemia: new insights and guidance for clinicians to improve detection and clinical management. A position paper from the Consensus Panel on Familial Hypercholesterolaemia of the European Atherosclerosis Society;Cuchel;Eur Heart J,2014

3. Worldwide prevalence of familial hypercholesterolemia: Meta-Analyses of 11 Million Subjects;Beheshti;J Am Coll Cardiol,2020

4. 20-Year follow-up of statins in Children with familial hypercholesterolemia;Luirink;N Engl J Med,2019

5. Longitudinal low density lipoprotein cholesterol goal achievement and cardiovascular outcomes among adult patients with familial hypercholesterolemia: the CASCADE FH registry;Duell;Atherosclerosis,2019

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