Bridging information gaps in menopause status classification through natural language processing.

Hannah EyrePatrick R AlbaCarolyn J GibsonElise GatsbyKristine E LynchOlga V PattersonScott L DuVall

Published in: JAMIA open (2024)

NLP can be used to identify concepts relevant to a patient's menopausal status in clinical notes. Adding NLP-derived data to an algorithm classifying a patient's menopausal status significantly increases the number of patients classified using EHR data, ultimately enabling more detailed assessments of the impact of menopause on health outcomes.

Keyphrases

electronic health record
machine learning
end stage renal disease
case report
deep learning
ejection fraction
newly diagnosed
big data
postmenopausal women
autism spectrum disorder
peritoneal dialysis
health information
patient reported outcomes
social media