Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing.

Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processing.

<h4>Background</h4>Heart failure (HF) is a major cause of morbidity and mortality. However, much of the clinical data is unstructured in the form of radiology reports, while the process of data collection and curation is arduous and time-consuming.<h4>Purpose</h4>We utilized...

Full description

Bibliographic Details
Main Authors: Mohit Pandey, Zhuoran Xu, Evan Sholle, Gabriel Maliakal, Gurpreet Singh, Zahra Fatima, Daria Larine, Benjamin C Lee, Jing Wang, Alexander R van Rosendael, Lohendran Baskaran, Leslee J Shaw, James K Min, Subhi J Al'Aref
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0236827

Similar Items

Similar Items