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Connection

Aryabod Razipour to Predictive Value of Tests

This is a "connection" page, showing publications Aryabod Razipour has written about Predictive Value of Tests.
Connection Strength

0.224
  1. Patient-Specific Myocardial Infarction Risk Thresholds From AI-Enabled Coronary Plaque Analysis. Circ Cardiovasc Imaging. 2024 Oct; 17(10):e016958.
    View in: PubMed
    Score: 0.056
  2. Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study. Cardiovasc Diabetol. 2021 01 29; 20(1):27.
    View in: PubMed
    Score: 0.043
  3. Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study. Cardiovasc Res. 2020 12 01; 116(14):2216-2225.
    View in: PubMed
    Score: 0.043
  4. Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study. Atherosclerosis. 2021 02; 318:76-82.
    View in: PubMed
    Score: 0.043
  5. Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects. Circ Cardiovasc Imaging. 2020 02; 13(2):e009829.
    View in: PubMed
    Score: 0.040
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.