Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4966627 | International Journal of Medical Informatics | 2017 | 19 Pages |
Abstract
We have created a novel NLP tool designed for users without a background in computer programming, which has been used to classify venous thromboembolism reports with a high degree of accuracy. The tool is open-source and available for download at http://iturrate.com/simpleNLP. Results obtained using this tool can be applied to enhance quality by presenting information about utilization and yield to providers via an imaging dashboard.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Jordan Swartz, Christian Koziatek, Jason Theobald, Silas Smith, Eduardo Iturrate,