Real-time interactive artificial intelligence of things-based prediction for adverse outcomes in adult patients with pneumonia in the emergency department.

You-Ming ChenYuan KaoChien-Chin HsuChia-Jung ChenYu-Shan MaYu-Ting ShenTzu-Lan LiuShu-Lien HsuHung-Jung LinJhi-Joung WangChien-Cheng HuangChung-Feng Liu

Published in: Academic emergency medicine : official journal of the Society for Academic Emergency Medicine (2021)

A real-time interactive AIoT-based model might be a better tool for predicting adverse outcomes in ED patients with pneumonia. Further validation in other populations is warranted.

Keyphrases

artificial intelligence
emergency department
machine learning
big data
deep learning
respiratory failure
community acquired pneumonia
adverse drug