Validation of a Natural Language Processing Algorithm for the Extraction of the Sleep Parameters from the Polysomnography Reports.

Mahbubur RahmanSara Nowakowski Ritwick AgrawalAanand NaikAmir SharafkhanehJavad Razjouyan

Published in: Healthcare (Basel, Switzerland) (2022)

This study showed that NLP is an accurate technique to extract sleep parameters from PSG reports in the EMR. Thus, NLP can serve as an effective tool in large health care systems to evaluate and improve patient care.

Keyphrases

healthcare
sleep quality
physical activity
obstructive sleep apnea
adverse drug
machine learning
autism spectrum disorder
deep learning
oxidative stress
high resolution
emergency department
sleep apnea
anti inflammatory