Published on in Vol 5, No 1 (2013):

Extracting Surveillance Data from Templated Sections of an Electronic Medical Note: Challenges and Opportunities

Extracting Surveillance Data from Templated Sections of an Electronic Medical Note: Challenges and Opportunities

Extracting Surveillance Data from Templated Sections of an Electronic Medical Note: Challenges and Opportunities

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Journals

  1. Newman-Griffis D, Divita G, Desmet B, Zirikly A, Rosé C, Fosler-Lussier E. Ambiguity in medical concept normalization: An analysis of types and coverage in electronic health record datasets. Journal of the American Medical Informatics Association 2021;28(3):516 View

Conference Proceedings

  1. Workman T, Goulet J, Brandt C, Skanderson M, Wang R, Warren A, Eleazer J, Gordon K, Zeng-Treitler Q. 2020 IEEE International Conference on Big Data (Big Data). A Prototype Application to Identify LGBT Patients in Clinical Notes View