Computational Linguistics: A Novel Approach to Identify Pulmonary Nodules

In this white paper, Natalia Rodnova, Eon’s Lead Data Scientist, provides an introduction to Computational Linguistics (CL) and describes how Eon’s CL model identifies pulmonary nodules and extracts the characteristics of the largest lung nodule mentioned in a free-text radiology report. This is a novel approach to pulmonary nodule identification that delivers an overall accuracy of 98.3%, with 98.1% precision and 99.8% recall.