Value of laboratory results in addition to vital signs in a machine learning algorithm to predict in-hospital cardiac arrest: A single-center retrospective cohort study

BACKGROUND: Although machine learning-based prediction models for in-hospital cardiac arrest (IHCA) have been widely investigated, it is unknown whether a model based on vital signs alone (Vitals-Only model) can perform similarly to a model that considers both vital signs and laboratory results (Vit...

Descripción completa

Detalles Bibliográficos
Autores principales: Ueno, Ryo, Xu, Liyuan, Uegami, Wataru, Matsui, Hiroki, Okui, Jun, Hayashi, Hiroshi, Miyajima, Toru, Hayashi, Yoshiro, Pilcher, David, Jones, Daryl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357766/
https://www.ncbi.nlm.nih.gov/pubmed/32658901
http://dx.doi.org/10.1371/journal.pone.0235835

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357766/
https://www.ncbi.nlm.nih.gov/pubmed/32658901
http://dx.doi.org/10.1371/journal.pone.0235835

Ejemplares similares