Prediction of vasopressor needs in hypotensive emergency department patients using serial arterial blood pressure data with deep learning

Prediction of vasopressor needs in hypotensive emergency department patients using serial arterial blood pressure data with deep learning

Abstract Background Shock is a life‐threatening condition that is associated with high mortality and morbidity. Therefore, the timely identification and management of this condition are important. We aimed to develop a prediction model for vasopressor use based on concise serial arterial blood press...

Full description

Saved in:
Bibliographic Details
Main Authors: Yeongho Choi, Ki Hong Kim, Yoonjic Kim, Dong Hyun Choi, Yoon Ha Joo, Sae Won Choi, Kyoung Jun Song, Sang Do Shin
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:Hong Kong Journal of Emergency Medicine
Subjects:
deep learning
emergency department
forecasting
hypotension
vasoconstrictor agents
Online Access:https://doi.org/10.1002/hkj2.12039
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/hkj2.12039

Similar Items