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

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

Abstract 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 p...

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Bibliographic Details
Main Authors: Masahiko Takeda, Takehiko Oami, Yosuke Hayashi, Tadanaga Shimada, Noriyuki Hattori, Kazuya Tateishi, Rie E. Miura, Yasuo Yamao, Ryuzo Abe, Yoshio Kobayashi, Taka-aki Nakada
Format: Article
Language:English
Published: Nature Portfolio 2022-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-18650-6

Internet

https://doi.org/10.1038/s41598-022-18650-6

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