Phenomapping for novel classification of heart failure with preserved ejection fraction. - Wikidata - wikimedia - TriplyDB

Phenomapping for novel classification of heart failure with preserved ejection fraction.

Phenomapping for novel classification of heart failure with preserved ejection fraction.

http://www.wikidata.org/entity/Q34995857

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How to diagnose heart failure with preserved ejection fraction: the value of invasive stress testing Understanding heart failure with preserved ejection fraction: where are we today?Patient selection in heart failure with preserved ejection fraction clinical trials Heart Failure: Diagnosis, Severity Estimation and Prediction of Adverse Events Through Machine Learning Techniques.Moving From Digitalization to Digitization in Cardiovascular Care: Why Is it Important, and What Could it Mean for Patients and Providers?Enabling a Learning Health System through a Unified Enterprise Data Warehouse: The Experience of the Northwestern University Clinical and Translational Sciences (NUCATS) Institute Harnessing the heart of big data Addressing the Heterogeneity of Heart Failure in Future Randomized Trials.Big data analytics to improve cardiovascular care: promise and challenges.Novel approach to classifying patients with pulmonary arterial hypertension using cluster analysis.Targeting Endothelial Function to Treat Heart Failure with Preserved Ejection Fraction: The Promise of Exercise Training.Metabolic Dysfunction in Heart Failure: Diagnostic, Prognostic, and Pathophysiologic Insights From Metabolomic Profiling.Cardiovascular Late Effects and Exercise Treatment in Breast Cancer: Current Evidence and Future Directions Exploring Guidelines for Classification of Major Heart Failure Subtypes by Using Machine Learning.Clinical Implications of Cluster Analysis-Based Classification of Acute Decompensated Heart Failure and Correlation with Bedside Hemodynamic Profiles.Characterization of subgroups of heart failure patients with preserved ejection fraction with possible implications for prognosis and treatment response.ECG-derived spatial QRS-T angle is associated with ICD implantation, mortality and heart failure admissions in patients with LV systolic dysfunction.Impaired Right Ventricular-Pulmonary Arterial Coupling and Effect of Sildenafil in Heart Failure With Preserved Ejection Fraction: An Ancillary Analysis From the Phosphodiesterase-5 Inhibition to Improve Clinical Status And Exercise Capacity in Dias Phenotype-Specific Treatment of Heart Failure With Preserved Ejection Fraction: A Multiorgan Roadmap.Early-stage heart failure with preserved ejection fraction in the pig: a cardiovascular magnetic resonance study.Machine Learning and Decision Support in Critical Care.Enhancing Insights into Pulmonary Vascular Disease through a Precision Medicine Approach. A Joint NHLBI-Cardiovascular Medical Research and Education Fund Workshop Report.Epidemiology of Right Ventricular Dysfunction in Heart Failure with Preserved Ejection Fraction.Spironolactone for Management of Heart Failure with Preserved Ejection Fraction: Whither to After TOPCAT?Machine Learning in Medicine.Spectrum of epidemiological and clinical findings in patients with heart failure with preserved ejection fraction stratified by study design: a systematic review.Designing Future Clinical Trials in Heart Failure With Preserved Ejection Fraction: Lessons From TOPCAT.Sudden cardiac death in heart failure with preserved ejection fraction: a target for therapy?Connecting heart failure with preserved ejection fraction and renal dysfunction: the role of endothelial dysfunction and inflammation.Clinical Phenotyping of Heart Failure with Biomarkers: Current and Future Perspectives.Towards Precision in HF Pharmacotherapy.Advances in the pharmacotherapy of chronic heart failure with preserved ejection fraction: an ideal opportunity for precision medicine.Ivabradine for the treatment of chronic heart failure.How to Develop and Implement a Specialized Heart Failure with Preserved Ejection Fraction Clinical Program.Phenomapping for the Identification of Hypertensive Patients with the Myocardial Substrate for Heart Failure with Preserved Ejection Fraction.Heart failure with preserved ejection fraction and skeletal muscle physiology.Tensor Factorization for Precision Medicine in Heart Failure with Preserved Ejection Fraction.Phenotype-Specific Association of Single-Nucleotide Polymorphisms with Heart Failure and Preserved Ejection Fraction: a Genome-Wide Association Analysis of the Cardiovascular Health Study.Molecular Approaches in HFpEF: MicroRNAs and iPSC-Derived Cardiomyocytes.Redefining the role of biomarkers in heart failure trials: expert consensus document.

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P2860

Phenomapping for novel classification of heart failure with preserved ejection fraction.

http://www.wikidata.org/entity/Q34995857

description

2014 nî lūn-bûn

@nan

2014 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի նոյեմբերին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

Phenomapping for novel classification of heart failure with preserved ejection fraction.

@ast

Phenomapping for novel classification of heart failure with preserved ejection fraction.

@en

Phenomapping for novel classification of heart failure with preserved ejection fraction.

@nl

type

label

Phenomapping for novel classification of heart failure with preserved ejection fraction.

@ast

Phenomapping for novel classification of heart failure with preserved ejection fraction.

@en

Phenomapping for novel classification of heart failure with preserved ejection fraction.

@nl

prefLabel

Phenomapping for novel classification of heart failure with preserved ejection fraction.

@ast

Phenomapping for novel classification of heart failure with preserved ejection fraction.

@en

Phenomapping for novel classification of heart failure with preserved ejection fraction.

@nl

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CIRCULATIONAHA.114.010637

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Phenomapping for novel classification of heart failure with preserved ejection fraction.

@en

P2093

Chiang-Ching Huang

http://www.w3.org/2001/XMLSchema#string

Daniel H Katz

http://www.w3.org/2001/XMLSchema#string

Michael A Burke

http://www.w3.org/2001/XMLSchema#string

Rahul C Deo

http://www.w3.org/2001/XMLSchema#string

Robert O Bonow

http://www.w3.org/2001/XMLSchema#string

Sanjiv J Shah

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Senthil Selvaraj

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P2860

Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins

Trends in prevalence and outcome of heart failure with preserved ejection fraction

An RNA profile identifies two subsets of multiple sclerosis patients differing in disease activity

Reducing the dimensionality of data with neural networks

Phenotypic spectrum of heart failure with preserved ejection fraction.

Predicting survival in heart failure: a risk score based on 39 372 patients from 30 studies.

Development of a prognostic model for breast cancer survival in an open challenge environment.

The natural history of congestive heart failure: the Framingham study.

Decision tree for adjuvant right ventricular support in patients receiving a left ventricular assist device.

Diastolic and systolic heart failure are distinct phenotypes within the heart failure spectrum.

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269-279

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scholarly article

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10.1161/CIRCULATIONAHA.114.010637

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3

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131

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Mihai Gheorghiade

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2014-11-14T00:00:00Z

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25398313

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4302027

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