A diagnostic codes-based algorithm improves accuracy for identification of childhood asthma in archival data sets.

Hee Yun SeolChung-Il Wi Euijung RyuKatherine S KingRohit D DivekarYoung J Juhn

Published in: The Journal of asthma : official journal of the Association for the Care of Asthma (2020)

The diagnostic codes-based algorithm for identifying asthmatics improves accuracy of identification of asthma and can be a useful tool for large scale studies in a setting without automated chart review capabilities.

Keyphrases

machine learning
deep learning
chronic obstructive pulmonary disease
lung function
allergic rhinitis
big data
bioinformatics analysis
electronic health record
artificial intelligence
neural network
high throughput
cystic fibrosis
case control
data analysis