Predicting outcomes in older ED patients with influenza in real time using a big data-driven and machine learning approach to the hospital information system.

Tian-Hoe TanChien-Chin HsuChia-Jung ChenShu-Lien HsuTzu-Lan LiuHung-Jung LinJhi-Joung WangChung-Feng LiuChien-Cheng Huang

Published in: BMC geriatrics (2021)

ML is a promising way to assist physicians in predicting outcomes in older ED patients with influenza in real time. Evaluations of the effectiveness and impact are needed in the future.

Keyphrases

big data
machine learning
artificial intelligence
emergency department
physical activity
community dwelling
primary care
middle aged
randomized controlled trial
healthcare
systematic review
current status
deep learning
health information
social media
acute care
metabolic syndrome
adverse drug