Automated Cluster Detection of Health Care-Associated Infection Based on the Multisource Surveillance of Process Data in the Area Network: Retrospective Study of Algorithm Development and Validation.

Yunzhou Fan Yanyan Wu Xiongjing Cao Junning Zou Ming Zhu Di Dai Lin Lu Xiaoxv Yin Li-Juan Xiong

Published in: JMIR medical informatics (2020)

The multisource surveillance of process data in the area network is an effective method for the early detection of HAI clusters. The combination of multisource data and the threshold of the warning model are 2 important factors that influence the performance of the model.

Keyphrases

electronic health record
healthcare
public health
machine learning
big data
deep learning
high throughput
data analysis
social media
quantum dots