Article

Clinical and Genetic Determinants of Heart Failure: Optimized by Machine Learning and Mendelian Randomization

2021-07-12

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Identifying unrecognized, potentially modifiable risk factors is essential for heart failure (HF) management.<bold>Methods: </bold>The Atherosclerosis Risk in Communities (ARIC) study was used for machine learning (ML) to establish the top 20 important variables as potential risk factors for HF. Multivariable Cox regression analysis was performed in an explorati...

Topics

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

Identifiers and source

Literature Corpus work: a6eebd3f-0ae7-550b-9f76-1c9eeea97a16
DOI: 10.21203/rs.3.rs-670567/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Clinical and Genetic Determinants of Heart Failure: Optimized by Machine Learning and Mendelian RandomizationDOI 10.21203/rs.3.rs-670567/v1Read

Assessment of causality between modifiable factors and heart failure: A Mendelian randomization analysis.Semantic proximity Read

Obesity increases heart failure incidence and mortality: observational and Mendelian randomization studies totalling over 1 million individualsSemantic proximity Read

Genetically predicted blood pressure, antihypertensive drugs and risk of heart failure: a Mendelian randomization study.Semantic proximity Read

A Multivariable Mendelian Randomization Study of Systolic and Diastolic Blood Pressure, Lipid Profile, and Heart Failure Subtypes.Semantic proximity Read

Body mass index and heart failure risk: a cohort study in 1.5 million individuals and Mendelian randomisation analysisSemantic proximity Read

Therapeutic Targets for Heart Failure Identified Using Proteomics and Mendelian Randomization.Semantic proximity Read

The causal relationships between body composition and heart failure: A two-sample mendelian randomization studySemantic proximity Read

Genetically predicted causal association between type 2 diabetes and heart failure: A two-sample Mendelian randomization study.Semantic proximity Read

Effects of COVID-19 on Heart Failure and Its Risk Factors: A Bidirectional Mendelian Randomization StudySemantic proximity Read

ASGR1 inhibitors, inflammation, and heart failure: A Mendelian randomization analysis.Semantic proximity Read

Life-course obesity and heart failure: a two-sample Mendelian randomization study.Semantic proximity Read

Genetic Evidence Linking Inflammatory Cytokines and Blood Metabolites to Heart Failure Risk.Semantic proximity Read