In this diagnostic study of 34,070 patients with Heart Failure, the NLP approach accurately extracted a patient’s NYHA symptom class and activity- or rest-related HF symptoms from clinical notes, enhancing the ability to track optimal care delivery and identify patients eligible for clinical trial participation from unstructured documentation.
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2825987?guestAccessKey=874d58b9-85bb-4bc9-aca2-c11f09554cb4&utm_source=silverchair&utm_campaign=jama_network&utm_content=car_weekly_highlights&utm_medium=email&adv=001205050228