Using an Artificial Neural Network to Predict Coronary Microvascular Obstruction (No-Reflow Phenomenon) during Percutaneous Coronary Interventions in Patients with Myocardial Infarction

The aim of the study was to develop, evaluate, and validate an artificial neural network to predict coronary microvascular obstruction (CMVO) during percutaneous coronary interventions (PCI) in patients with myocardial infarctions (MI) based on the parameters, which are routinely available in an ope...

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Detalles Bibliográficos
Autores principales: Frolov, A.A., Pochinka, I.G., Shakhov, B.E., Mukhin, A.S., Frolov, I.A., Barinova, M.K., Sharabrin, E.G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Privolzhsky Research Medical University 2021
Materias:
Advanced Researches
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858403/
https://www.ncbi.nlm.nih.gov/pubmed/35265354
http://dx.doi.org/10.17691/stm2021.13.6.01

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8858403/
https://www.ncbi.nlm.nih.gov/pubmed/35265354
http://dx.doi.org/10.17691/stm2021.13.6.01

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