Prognostic value of combined clinical and myocardial perfusion imaging data using machine learning

OBJECTIVES: We evaluated the added predictive value of combining clinical information and myocardial perfusion SPECT imaging (MPI) data using machine learning (ML) to predict major adverse cardiac events (MACE). BACKGROUND: Traditionally, prognostication by MPI has relied on visual or quantitative a...

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Publicado en:JACC Cardiovasc Imaging
Autores principales: 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.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2017
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC5902657/
https://ncbi.nlm.nih.gov/pubmed/29055639
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jcmg.2017.07.024
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