Machine learning to predict abnormal myocardial perfusion from pre-test features
Robert J.H. Miller, M. Timothy Hauser, Tali Sharir, Andrew J. Einstein, Mathews B. Fish, Terrence D. Ruddy, Philipp A. Kaufmann, Albert J. Sinusas, Edward J. Miller, Timothy M. Bateman, Sharmila Dorbala, Marcelo F. Di Carli, Cathleen Huang, Joanna X. Liang, Donghee Han, Damini Dey, Daniel S. Berman, Piotr J. Slomka
Topics & Concepts
MedicineBrier scoreMyocardial perfusion imagingReceiver operating characteristicPopulationMachine learningPerfusionArea under the curveInternal medicineArtificial intelligenceCardiologyComputer scienceEnvironmental healthCardiac Imaging and DiagnosticsAcute Myocardial Infarction ResearchCoronary Interventions and Diagnostics