Prediction of cardiac death after adenosine myocardial perfusion SPECT based on machine learning.

Journal: Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Published Date: Mar 14, 2018

Abstract

BACKGROUND: We developed machine-learning (ML) models to estimate a patient's risk of cardiac death based on adenosine myocardial perfusion SPECT (MPS) and associated clinical data, and compared their performance to baseline logistic regression (LR). We demonstrated an approach to visually convey the reasoning behind a patient's risk to provide insight to clinicians beyond that of a "black box."

Authors

  • David Haro Alonso
    Medical Imaging Research Center, Illinois Institute of Technology, 3440 S. Dearborn St., Suite 100, Chicago, IL, 60616, USA.
  • Miles N Wernick
    ADM Diagnostics, Northbrook, IL, USA.
  • Yongyi Yang
    Medical Imaging Research Center, Illinois Institute of Technology, 3440 S. Dearborn St., Suite 100, Chicago, IL, 60616, USA.
  • Guido Germano
    Departments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Daniel S Berman
    Departments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
  • Piotr Slomka
    Departments of Imaging and Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

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