Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning

This study evaluated the added predictive value of combining clinical information and myocardial perfusion single-photon emission computed tomography (SPECT) imaging (MPI) data using machine learning (ML) to predict major adverse cardiac events (MACE). Traditionally, prognostication by MPI has relie...

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Veröffentlicht in:	JACC. Cardiovascular imaging 2018-07, Vol.11 (7), p.1000-1009
Hauptverfasser:	Betancur, Julian, Otaki, Yuka, Motwani, Manish, Fish, Mathews B., Lemley, Mark, Dey, Damini, Gransar, Heidi, Tamarappoo, Balaji, Germano, Guido, Sharir, Tali, Berman, Daniel S., Slomka, Piotr J.
Format:	Artikel
Sprache:	eng
Schlagworte:	machine learning major adverse cardiac event(s) SPECT myocardial imaging
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