Extraction of sleep information from clinical notes of Alzheimer's disease patients using natural language processing.

Sonish SivarajkumarThomas Yu Chow TamHaneef Ahamed MohammadSamuel ViggianoDavid OnianiShyam VisweswaranYanshan Wang

Published in: Journal of the American Medical Informatics Association : JAMIA (2024)

The results show that the rule-based NLP algorithm consistently achieved the best performance for all sleep concepts. This study focused on the clinical notes of patients with AD but could be extended to general sleep information extraction for other diseases.

Keyphrases

sleep quality
physical activity
end stage renal disease
newly diagnosed
ejection fraction
machine learning
prognostic factors
health information
healthcare
deep learning
patient reported outcomes
mild cognitive impairment
neural network