基于电子健康记录筛查家族性高胆固醇血症：大海捞针找血脂 - Suppr

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EHR-Based Screening of Familial Hypercholesterolemia: Finding the Lipid in the Haystack.

作者信息

Ibrahim Ramzi, Hartnett Jack

机构信息

Department of Cardiovascular Medicine, Mayo Clinic, Scottsdale, Arizona, USA.

出版信息

JACC Adv. 2024 Oct 16;3(12):101296. doi: 10.1016/j.jacadv.2024.101296. eCollection 2024 Dec.

DOI:10.1016/j.jacadv.2024.101296

PMID:39817082

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11734010/

Abstract

摘要

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本文引用的文献

A Scoping Review of Electronic Health Records-Based Screening Algorithms for Familial Hypercholesterolemia.

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Social Phenotyping for Cardiovascular Risk Stratification in Electronic Health Registries.

Curr Atheroscler Rep. 2024 Sep;26(9):485-497. doi: 10.1007/s11883-024-01222-6. Epub 2024 Jul 8.

Deep Learning-Based Assessment of Built Environment From Satellite Images and Cardiometabolic Disease Prevalence.

JAMA Cardiol. 2024 Jun 1;9(6):556-564. doi: 10.1001/jamacardio.2024.0749.

Public health initiatives: Addressing social vulnerability in research and practice.

J Investig Med. 2024 Jan;72(1):159-161. doi: 10.1177/10815589231207799. Epub 2023 Oct 28.

Yield of Familial Hypercholesterolemia Genetic and Phenotypic Diagnoses After Electronic Health Record and Genomic Data Screening.

J Am Heart Assoc. 2023 Jul 4;12(13):e030073. doi: 10.1161/JAHA.123.030073. Epub 2023 Jun 29.

Coronary Risk Estimation Based on Clinical Data in Electronic Health Records.

J Am Coll Cardiol. 2022 Mar 29;79(12):1155-1166. doi: 10.1016/j.jacc.2022.01.021.

Natural language processing for the assessment of cardiovascular disease comorbidities: The cardio-Canary comorbidity project.

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