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

Crossref DOI link: https://doi.org/10.1007/s12149-018-1247-y

Published Online: 2018-03-07

Published Print: 2018-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Nakajima, Kenichi http://orcid.org/0000-0001-7188-8746
Okuda, Koichi

Watanabe, Satoru

Matsuo, Shinro

Kinuya, Seigo

Toth, Karin

Edenbrandt, Lars
Funding

Funding for this research was provided by:

JSPS Grants-in-Aid for Scientific Research (15 K09947)

(partly) FUJIFILM RI Pharma Co. Ltd. (none)
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Article History

Received: 12 February 2018

Accepted: 4 March 2018

First Online: 7 March 2018

Compliance with ethical standards

:

: KN and KO have collaborated in research studies with FUJIFILM RI Pharma Co. Ltd. (Tokyo, Japan). Karin Toth and Lars Edenbrandt are full- and part-time employees, respectively, of EXINI Diagnostics, Lund, Sweden.

: This study was partly funded by JSPS Grants-in-Aid for Scientific Research (C) in Japan (PI: K. Nakajima, no. 15 K09947) and by FUJIFILM RI Pharma Co. Ltd. (Tokyo, Japan).