Prehospital diagnostic algorithm for acute coronary syndrome using machine learning: a prospective observational study

Rapid and precise prehospital recognition of acute coronary syndrome (ACS) is key to improving clinical outcomes. The aim of this study was to investigate a predictive power for predicting ACS using the machine learning-based prehospital algorithm. We conducted a multicenter observational prospectiv...

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Detalles Bibliográficos
Autores principales: Takeda, Masahiko, Oami, Takehiko, Hayashi, Yosuke, Shimada, Tadanaga, Hattori, Noriyuki, Tateishi, Kazuya, Miura, Rie E., Yamao, Yasuo, Abe, Ryuzo, Kobayashi, Yoshio, Nakada, Taka-aki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418242/
https://www.ncbi.nlm.nih.gov/pubmed/36028534
http://dx.doi.org/10.1038/s41598-022-18650-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418242/
https://www.ncbi.nlm.nih.gov/pubmed/36028534
http://dx.doi.org/10.1038/s41598-022-18650-6

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