Evaluating Report Text Variation and Informativeness: Natural Language Processing of CT Chest Imaging for Pulmonary Embolism
The aim of this study was to quantify the variability of language in free text reports of pulmonary embolus (PE) studies and to gauge the informativeness of free text to predict PE diagnosis using machine learning as proxy for human understanding.
Source: Journal of the American College of Radiology : JACR - Category: Radiology Authors: Marco D. Huesch, Rekha Cherian, Sam Labib, Rickhesvar Mahraj Tags: Original article Source Type: research
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