Improved accuracy of myocardial perfusion SPECT for detection of coronary artery disease by machine learning in a large population

OBJECTIVE: We aimed to improve the diagnostic accuracy of myocardial perfusion SPECT (MPS) by integrating clinical data and quantitative image features with machine learning (ML) algorithms. METHODS: 1,181 rest (201)Tl/stress (99m)Tc-sestamibi dual-isotope MPS studies [713 consecutive cases with cor...

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Hlavní autoři: Arsanjani, Reza, Xu, Yuan, Dey, Damini, Vahistha, Vishal, Shalev, Aryeh, Nakanishi, Rine, Hayes, Sean, Fish, Mathews, Berman, Daniel, Germano, Guido, Slomka, Piotr J.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2013
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Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3732038/
https://ncbi.nlm.nih.gov/pubmed/23703378
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12350-013-9706-2
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