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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Vydáno v:J Nucl Cardiol
Hlavní autoři: Arsanjani, Reza, Dey, Damini, Khachatryan, Tigran, Shalev, Aryeh, Hayes, Sean W., Fish, Mathews, Nakanishi, Rine, Germano, Guido, Berman, Daniel S., Slomka, Piotr
Médium: Artigo
Jazyk:Inglês
Vydáno: 2014
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On-line přístup: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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