Identifying Diabetes Related-Complications in a Real-World Free-Text Electronic Medical Records in Hebrew Using Natural Language Processing Techniques.
Saban MorMiri LutskiInbar ZuckerMoshe UzielDror Ben-MosheAriel IsraelShlomo VinkerAvivit Golan-CohenIzhar LauferIlan GreenRoy EldorEugene MerzonPublished in: Journal of diabetes science and technology (2024)
NLP algorithms and machine learning processes may enable more accurate identification of diabetes complications in EMR data.