Visual assessment of interactions among resuscitation activity factors in out-of-hospital cardiopulmonary arrest using a machine learning model.

Visual assessment of interactions among resuscitation activity factors in out-of-hospital cardiopulmonary arrest using a machine learning model.

<h4>Aim</h4>The evaluation of the effects of resuscitation activity factors on the outcome of out-of-hospital cardiopulmonary arrest (OHCA) requires consideration of the interactions among these factors. To improve OHCA success rates, this study assessed the prognostic interactions resul...

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Bibliographic Details
Main Authors: Yasuyuki Kawai, Hirozumi Okuda, Arisa Kinoshita, Koji Yamamoto, Keita Miyazaki, Keisuke Takano, Hideki Asai, Yasuyuki Urisono, Hidetada Fukushima
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0273787

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https://doi.org/10.1371/journal.pone.0273787

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