Natural language processing to ascertain two key variables from operative reports in ophthalmology
Author:
Affiliation:
1. Division of Research; Kaiser Permanente Northern California; Oakland CA USA
2. Department of Ophthalmology; Kaiser Permanente Northern California; Oakland CA USA
Funder
National Eye Institute
Kaiser Permanente Community Benefit program
Kaiser Permanente Garfield Fund
Publisher
Wiley
Subject
Pharmacology (medical),Epidemiology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/pds.4149/fullpdf
Reference15 articles.
1. Natural language processing in biomedicine: a unified system architecture overview;Boan;Methods Mol Biol,2014
2. Current and future applications of natural language processing in the field of digestive disease;Hou;Clin Gastroenterol Hepatol,2014
3. Automated identification of postoperative complications within an electronic medical record using natural language processing;Murff;JAMA,2011
4. Building a natural language processing tool to identify patients with high clinical suspicion for Kawasaki disease from emergency department notes;Doan;Acad Emerg Med,2016
5. Discerning tumor status from unstructured MRI reports-completeness of information in existing reports and utility of automated natural language processing;Cheng;J Digital Imaging,2010
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