Deep natural language processing to identify symptom documentation in clinical notes for patients with heart failure undergoing cardiac resynchronization therapy

Clinicians lack reliable methods to predict which patients with congestive heart failure (CHF) will benefit from cardiac resynchronization therapy (CRT). Symptom burden may help to predict response, but this information is buried in free-text clinical notes. Natural language processing (NLP) may identify symptoms recorded in the electronic health record (EHR) and thereby enable this information to inform clinical decisions about the appropriateness of CRT.

Source: Journal of Pain and Symptom Management - June 20, 2020 Category: Palliative Care Authors: Richard E. Leiter, Enrico Santus, Zhijing Jin, Katherine Lee, Miryam Yusufov, Isabel Chien, Ashwin Ramaswamy, Edward T. Moseley, Yujie Qian, Deborah Schrag, Charlotta Lindvall Tags: Original Article Source Type: research