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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Detalhes bibliográficos
Publicado no:J Nucl Cardiol
Main Authors: Arsanjani, Reza, Dey, Damini, Khachatryan, Tigran, Shalev, Aryeh, Hayes, Sean W., Fish, Mathews, Nakanishi, Rine, Germano, Guido, Berman, Daniel S., Slomka, Piotr
Formato: Artigo
Idioma:Inglês
Publicado em: 2014
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Article
Acesso em linha: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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