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pro vyhledávání: '"Giovanni Baj"'
Autor:
Giovanni Baj, Ilaria Gandin, Arjuna Scagnetto, Luca Bortolussi, Chiara Cappelletto, Andrea Di Lenarda, Giulia Barbati
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Machine learning (ML) methods to build prediction models starting from electrocardiogram (ECG) signals are an emerging research field. The aim of the present study is to investigate the performances of two ML approaches based on E
Externí odkaz:
https://doaj.org/article/d7277f21e217425aae381c97b0abf166
Autor:
Giovanni Baj, Ilaria Gandin, Arjuna Scagnetto, Luca Bortolussi, Chiara Cappelletto, Andrea Di Lenarda, Giulia Barbati
Background Machine learning (ML) methods to build prediction models starting from electrocardiogram (ECG) signals are an emerging research field. The aim of the present study is to investigate the performances of two ML approaches based on ECGs for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8af103666119d1298daa314b489a201
https://doi.org/10.21203/rs.3.rs-2509748/v1
https://doi.org/10.21203/rs.3.rs-2509748/v1