Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports.
Journal:
Acta oncologica (Stockholm, Sweden)
Published Date:
Sep 12, 2020
Abstract
BACKGROUND: The widespread use of electronic patient-generated health data has led to unprecedented opportunities for automated extraction of clinical features from free-text medical notes. However, processing this rich resource of data for clinical and research purposes, depends on labor-intensive and potentially error-prone manual review. The aim of this study was to develop a natural language processing (NLP) algorithm for binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports of patients undergoing surgery for bone metastases.