Automatic classification of scanned electronic health record documents
- 17 October 2020
- journal article
- research article
- Published by Elsevier in International Journal of Medical Informatics
- Vol. 144, 104302
Abstract
No abstract availableKeywords
Funding Information
- Patient-Centered Outcomes Research Institute
- Cancer Prevention and Research Institute of Texas
- National Institute of Biomedical Imaging and Bioengineering
- U.S. National Library of Medicine
- National Center for Advancing Translational Sciences
This publication has 20 references indexed in Scilit:
- MIMIC-III, a freely accessible critical care databaseScientific Data, 2016
- An Ensemble Method for Spelling Correction in Consumer Health Questions.2015
- A typology of electronic health record workarounds in small-to-medium size primary care practicesJournal of the American Medical Informatics Association, 2014
- Glove: Global Vectors for Word Representation2014
- Toward Understanding EHR Use in Small Physician Practices2010
- Is document imaging the right choice for your organization?2009
- A survey of document image classification: problem statement, classifier architecture and performance evaluationInternational Journal on Document Analysis and Recognition (IJDAR), 2006
- A Frequency-based Technique to Improve the Spelling Suggestion Rank in Medical QueriesJournal of the American Medical Informatics Association, 2004
- Practice brief. Document imaging as a bridge to the EHR.2003
- Note on the Sampling Error of the Difference Between Correlated Proportions or PercentagesPsychometrika, 1947