Prediction of Post-Intubation Tachycardia Using Machine-Learning Models

Prediction of Post-Intubation Tachycardia Using Machine-Learning Models

Tachycardia is defined as a heart rate greater than 100 bpm for more than 1 min. Tachycardia often occurs after endotracheal intubation and can cause serious complication in patients with cardiovascular disease. The ability to predict post-intubation tachycardia would help clinicians by notifying a...

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Bibliographic Details
Main Authors: Hanna Kim, Young-Seob Jeong, Ah Reum Kang, Woohyun Jung, Yang Hoon Chung, Bon Sung Koo, Sang Hyun Kim
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Applied Sciences
Subjects:
tachycardia prediction
tracheal intubation
electronic medical record
vital sign
machine learning
clinical decision support
Online Access:https://www.mdpi.com/2076-3417/10/3/1151

Internet

https://www.mdpi.com/2076-3417/10/3/1151

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