Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging

HIGHLIGHTS

  • who: Michelle C. Williams from the SPECT MPI SPECT MPI was performed at , sites (Assuta Medical Center, Tel Aviv, Israel have published the Article: Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging, in the Journal: (JOURNAL)
  • what: The authors have shown that the clustering based on clinical, acquisition, and automated image analysis parameters can provide better stratification of risk compared to stress total perfusion deficit alone.
  • how: To validate the clinical utility of the unsupervised clustering the model was tested in the external cohort. Normally distributed data . . .

     

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