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Manar D. Samad et al.
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T. A. Buchan et al.
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J. W. Benjamins et al.
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Fanqi Meng et al.
BMJ OPEN (2019)
Clinical profiles in acute heart failure: an urgent need for a new approach
Brittany Chapman et al.
ESC HEART FAILURE (2019)
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Ghalib A. Bello et al.
NATURE MACHINE INTELLIGENCE (2019)
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Joe Gallagher et al.
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Partho P. Sengupta et al.
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Elena Tomaselli Muensterman et al.
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Tariq Ahmad et al.
JOURNAL OF THE AMERICAN HEART ASSOCIATION (2018)
Markers of left ventricular systolic dysfunction when left ventricular ejection fraction is normal
Jan F. Nauta et al.
EUROPEAN JOURNAL OF HEART FAILURE (2018)
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Hyung-Chul Lee et al.
JOURNAL OF CLINICAL MEDICINE (2018)
New York Heart Association (NYHA) classification in adults with congenital heart disease: relation to objective measures of exercise and outcome
Charlene Bredy et al.
EUROPEAN HEART JOURNAL-QUALITY OF CARE AND CLINICAL OUTCOMES (2018)
Development and validation of multivariable models to predict mortality and hospitalization in patients with heart failure
Adriaan A. Voors et al.
EUROPEAN JOURNAL OF HEART FAILURE (2017)
Biological Phenotypes of Heart Failure With Preserved Ejection Fraction
Gavin A. Lewis et al.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY (2017)
Survival analysis of heart failure patients: A case study
Tanvir Ahmad et al.
PLOS ONE (2017)
Phenomapping for the Identification of Hypertensive Patients with the Myocardial Substrate for Heart Failure with Preserved Ejection Fraction
Daniel H. Katz et al.
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Modifiable Risk Factors for Incident Heart Failure in Atrial Fibrillation
Neal A. Chatterjee et al.
JACC-HEART FAILURE (2017)
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Stephen F. Weng et al.
PLOS ONE (2017)
Early serum creatinine changes and outcomes in patients admitted for acute heart failure: the cardio-renal syndrome revisited
Julio Nunez et al.
EUROPEAN HEART JOURNAL-ACUTE CARDIOVASCULAR CARE (2017)
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Bharath Ambale-Venkatesh et al.
CIRCULATION RESEARCH (2017)
Targets for Heart Failure With Preserved Ejection Fraction
S. Nanayakkara et al.
CLINICAL PHARMACOLOGY & THERAPEUTICS (2017)
Relevance of Changes in Serum Creatinine During a Heart Failure Trial of Decongestive Strategies: Insights From the DOSE Trial
Meredith A. Brisco et al.
JOURNAL OF CARDIAC FAILURE (2016)
Comment: The FAIR Guiding Principles for scientific data management and stewardship
Mark D. Wilkinson et al.
SCIENTIFIC DATA (2016)
Treatment of Heart Failure With Preserved Ejection Fraction Reflections on Its Treatment With an Aldosterone Antagonist
Marc A. Pfeffer et al.
JAMA CARDIOLOGY (2016)
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N. Vistarini et al.
CANADIAN JOURNAL OF CARDIOLOGY (2014)
Renal failure in patients with heart failure - analysis based on ESC-HF Pilot survey
M. M. Stasiak et al.
EUROPEAN HEART JOURNAL (2014)
Predictors of quality of life in patients with heart failure
Shiow-Li Hwang et al.
JAPAN JOURNAL OF NURSING SCIENCE (2014)
Issues in the Mining of Heart Failure Datasets
Nongnuch Poolsawad et al.
INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING (2014)
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Swati Shilaskar et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
Long-term survival after hospitalization for acute heart failure - Differences in prognosis of acutely decompensated chronic and new-onset acute heart failure
Johan P. E. Lassus et al.
INTERNATIONAL JOURNAL OF CARDIOLOGY (2013)
So many definitions of heart failure: are they all universally valid? A critical appraisal
Lip-Bun Tan et al.
EXPERT REVIEW OF CARDIOVASCULAR THERAPY (2010)
Serum metabolomics reveals many novel metabolic markers of heart failure, including pseudouridine and 2-oxoglutarate
Warwick B. Dunn et al.
METABOLOMICS (2007)
Supervised classification with conditional Gaussian networks:: Increasing the structure complexity from naive Bayes
Aritz Perez et al.
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2006)
The Seattle heart failure model - Prediction of survival in heart failure
WC Levy et al.
CIRCULATION (2006)
Risk stratification for in-hospital mortality in acutely decompensated heart failure - Classification and regression tree analysis
GC Fonarow et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2005)
Effect of elevated admission serum creatinine and its worsening on outcome in hospitalized patients with decompensated heart failure
MW Akhter et al.
AMERICAN JOURNAL OF CARDIOLOGY (2004)
Gene selection for cancer classification using support vector machines
I Guyon et al.
MACHINE LEARNING (2002)