Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
Author:
Publisher
Oxford University Press (OUP)
Subject
Health Informatics
Link
http://academic.oup.com/jamia/article-pdf/17/5/507/5940551/17-5-507.pdf
Reference77 articles.
1. Hornberger J . Electronic health records: a guide for clinicians and administrators. Book and media review. JAMA 2009;(301):110.
2. Meystre SM Savova GK Kipper-Schuler KC . Extracting information from textual documents in the electronic health record: a review of recent research. IMIA Year book of Medical Informatics 2008;47(Suppl 1):128–44.
3. Friedman C . Towards a comprehensive medical language processing system: methods and issues. Proc AMIA Annu Fall Symp 1997:595–9.
4. Friedman C . A broad-coverage natural language processing system. Proc AMIA Symp 2000:270–4.
5. Hripcsak G Kuperman G Friedman C . Extracting findings from narrative reports: software transferability and sources of physician disagreement. Methods Inf Med 1998;37:1–7.
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