The University of Chicago Header Logo

Connection

David Ouyang to Risk Assessment

This is a "connection" page, showing publications David Ouyang has written about Risk Assessment.
Connection Strength

0.447
  1. Understanding Transient Left Ventricular Ejection Fraction Reduction During Atrial Fibrillation With Artificial Intelligence. J Am Heart Assoc. 2025 05 20; 14(10):e040641.
    View in: PubMed
    Score: 0.128
  2. Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study. Lancet Digit Health. 2024 01; 6(1):e70-e78.
    View in: PubMed
    Score: 0.116
  3. Deep Learning Preoperative Risk Stratification. Ann Thorac Surg. 2023 01; 115(1):264-265.
    View in: PubMed
    Score: 0.104
  4. Clinical risk prediction models for worsening heart failure events and all-cause mortality in adults with mild-to-moderate chronic kidney disease. ESC Heart Fail. 2026 Feb 03; 13(1).
    View in: PubMed
    Score: 0.034
  5. Deep Learning-Based Continuous QT Monitoring to Identify High-Risk Prolongation Events After Class III Antiarrhythmic Initiation. Circulation. 2026 Jan 06; 153(1):35-46.
    View in: PubMed
    Score: 0.033
  6. Sex-Divergent Blood Pressure Associations With Multiorgan System Metabolic Stress-Brief Report. Arterioscler Thromb Vasc Biol. 2025 04; 45(4):557-561.
    View in: PubMed
    Score: 0.032
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.