Artificial neural network retrained to detect myocardial ischemia using a Japanese multicenter database

PURPOSE: An artificial neural network (ANN) has been applied to detect myocardial perfusion defects and ischemia. The present study compares the diagnostic accuracy of a more recent ANN version (1.1) with the initial version 1.0. METHODS: We examined 106 patients (age, 77 ± 10 years) with coronary a...

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Detalles Bibliográficos
Autores principales: Nakajima, Kenichi, Okuda, Koichi, Watanabe, Satoru, Matsuo, Shinro, Kinuya, Seigo, Toth, Karin, Edenbrandt, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Japan 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5970255/
https://www.ncbi.nlm.nih.gov/pubmed/29516390
http://dx.doi.org/10.1007/s12149-018-1247-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5970255/
https://www.ncbi.nlm.nih.gov/pubmed/29516390
http://dx.doi.org/10.1007/s12149-018-1247-y

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