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Cardio therapeutic area — All resources
Cardio therapeutic area
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A Highly Predictive Machine Learning Model to Identify Hospitalized Patients at Risk for 30-day Readmission or Mortality
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Standardized Library of Atrial Fibrillation Outcome Measures. Research White Paper.
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Harmonized Outcome Measures for Use in Atrial Fibrillation Patient Registries and Clinical Practice
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Machine Learning Generated Risk Model to Predict Unplanned Hospital Admission in Heart Failure
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Findings From a Non-Alcoholic Steatohepatitis (NASH) Cohort Developed via Artificial Intelligence in a Large Representative Population in the U.S.
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Characteristics of Asymptomatic Heart Failure Patients with Reduced Ejection Fraction in a Large US-Based Real-World Cohort
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Defining Provider Prescribing Preference as an Instrumental Variable: A Case Study of NOACs in Stroke Prevention
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Identifying Progressing Patients in an Artificial Intelligence (AI) Based Cohort of Nonalcoholic Steatohepatitis (NASH)
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Variation in Outcome Measures in Atrial Fibrillation Registries and the Need for Harmonization
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The Association Between Social Determinants of Health and 1-Year Survival Among Patients with Heart Failure in a Real-World Cohort
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