Development of a prediction model for hypotension after induction of anesthesia using machine learning

Arterial hypotension during the early phase of anesthesia can lead to adverse outcomes such as a prolonged postoperative stay or even death. Predicting hypotension during anesthesia induction is complicated by its diverse causes. We investigated the feasibility of developing a machine-learning model...

Descripción completa

Detalles Bibliográficos
Autores principales: Kang, Ah Reum, Lee, Jihyun, Jung, Woohyun, Lee, Misoon, Park, Sun Young, Woo, Jiyoung, Kim, Sang Hyun
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/PMC7162491/
https://www.ncbi.nlm.nih.gov/pubmed/32298292
http://dx.doi.org/10.1371/journal.pone.0231172

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7162491/
https://www.ncbi.nlm.nih.gov/pubmed/32298292
http://dx.doi.org/10.1371/journal.pone.0231172

Ejemplares similares