Article

Prognostic Stratification of Familial Hypercholesterolemia Patients Using AI Algorithms: A Gender-Specific Approach

2024-10-14

Abstract excerpt

<h4>Background</h4> Familial Hypercholesterolemia (FH) is the most prevalent autosomal dominant disorder, affecting about 1 in 200-250 individuals, with an estimated 30 million patients globally. It is the leading cause of early and aggressive coronary artery disease (CAD). <h4>Objective</h4> To developed an artificial intelligence (AI) and machine learning (ML) algorithm for cardiovascular risk stratification in...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3cd80a9f-18a2-5a1e-9cb6-024967dce5ac
DOI: 10.1101/2024.10.11.24315359

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Prognostic Stratification of Familial Hypercholesterolemia Patients Using AI Algorithms: A Gender-Specific ApproachDOI 10.1101/2024.10.11.24315359Read

Virtual genetic diagnosis for familial hypercholesterolemia powered by machine learning.Semantic proximity Read

Derivation and validation of SIDIAP-FHP score: A new risk model predicting cardiovascular disease in familial hypercholesterolemia phenotype.Semantic proximity Read

Actionable absolute risk prediction of atherosclerotic cardiovascular disease: a behavior-management approach based on data from 464,547 UK Biobank participantsSemantic proximity Read

Comprehensive, Transparent, and Fair Machine Learning Models for Hypertension Risk Prediction: Benchmarking With Framingham, External Validation, Individual-Level Analysis, and Equitable Clinical UtilitySemantic proximity Read

A Promising Biomarker for Predicting Cardiovascular Risk in Asymptomatic Familial Hypercholesterolemia Patients From The SAFEHEART StudySemantic proximity Read

Familial Hypercholesterolemia Identification by Machine Learning Using Lipid Profile Data Performs as Well as Clinical Diagnostic Criteria.Semantic proximity Read

Impact of Genetic Risk Factors on Coronary Heart Disease Risk Across the Age Spectrum in Three Major Race/Ethnicity Groups in the United StatesSemantic proximity Read

Improving the Detection of Potential Cases of Familial Hypercholesterolemia: Could Machine Learning Be Part of the Solution?Semantic proximity Read

Sex-specific survival bias and interaction modeling in coronary artery disease risk predictionSemantic proximity Read

A machine learning model to aid detection of familial hypercholesterolaemiaSemantic proximity Read

The Montreal-FH-SCORE: A new score to predict cardiovascular events in familial hypercholesterolemia.Semantic proximity Read

Development and validation of decision rules models to stratify coronary artery disease, diabetes, and hypertension risk in preventive care: cohort study of returning UK Biobank participantsSemantic proximity Read