Prediction of Revascularization after Myocardial Perfusion SPECT by Machine Learning in a Large Population

OBJECTIVE: We aimed to investigate if early revascularization in patients with suspected coronary artery disease (CAD) can be effectively predicted by integrating clinical data and quantitative image features derived from perfusion SPECT (MPS) by machine learning (ML) approach. METHODS: 713 rest (20...

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Pubblicato in:J Nucl Cardiol
Autori principali: Arsanjani, Reza, Dey, Damini, Khachatryan, Tigran, Shalev, Aryeh, Hayes, Sean W., Fish, Mathews, Nakanishi, Rine, Germano, Guido, Berman, Daniel S., Slomka, Piotr
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2014
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4859156/
https://ncbi.nlm.nih.gov/pubmed/25480110
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12350-014-0027-x
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