Application of unsupervised deep learning algorithms for identification of specific clusters of chronic cough patients from EMR data.

Wei ShaoXiao LuoZuoyi ZhangZhi HanVasu ChandrasekaranVladimir TurzhitskyVishal BaliAnna R RobertsMegan MetzgerJarod BakerCarmen La RosaJessica WeaverPaul DexterKun Huang

Published in: BMC bioinformatics (2022)

To the best of our knowledge, this study is the first to test the potential of unsupervised deep learning methods for chronic cough investigation, which also shows a great advantage over existing algorithms for patient data clustering.

Keyphrases

deep learning
machine learning
big data
artificial intelligence
end stage renal disease
convolutional neural network
electronic health record
chronic kidney disease
newly diagnosed
healthcare
ejection fraction
prognostic factors
case report
single cell
rna seq
patient reported outcomes
risk assessment