Natural Language Processing for the Extraction of Patient Symptoms during Cancer Radiotherapy

摘要

On‐treatment evaluation of patients undergoing radiation therapy (RT) and chemoradiation (CRT) is important for managing symptoms related to disease, RT, or systemic therapy. Automated extraction of clinical symptoms from free‐text documentation can enable the implementation of machine learning (ML) or artificial intelligence (AI) tools such as our previously developed pretreatment ML algorithm to predict ED visits and hospitalization during treatment. We present analysis of extracting on‐treatment symptom data from clinical notes via a natural language processing (NLP) pipeline.