Optimizing annotation resources for natural language de-identification via a game theoretic framework.

Li, Muqun; Carrell, David; Aberdeen, John; Hirschman, Lynette; Kirby, Jacqueline; Li, Bo; Vorobeychik, Yevgeniy; Malin, Bradley A

Li, Muqun; Carrell, David; Aberdeen, John; Hirschman, Lynette; Kirby, Jacqueline; Li, Bo; Vorobeychik, Yevgeniy; Malin, Bradley A.

Afiliação

Li M; Dept. of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN, United States. Electronic address: muqun.li@vanderbilt.edu.
Carrell D; Group Health Research Institute, Seattle, WA, United States.
Aberdeen J; The MITRE Corporation, Bedford, MA, United States.
Hirschman L; The MITRE Corporation, Bedford, MA, United States.
Kirby J; Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University, Nashville, TN, United States.
Li B; Dept. of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN, United States.
Vorobeychik Y; Dept. of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN, United States.
Malin BA; Dept. of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN, United States; Dept. of Biomedical Informatics, Vanderbilt University, Nashville, TN, United States.

J Biomed Inform ; 61: 97-109, 2016 06.

Article em En | MEDLINE | ID: mdl-27020263

Assuntos

Confidencialidade; Registros Eletrônicos de Saúde; Processamento de Linguagem Natural; Humanos; Idioma; Risco

Palavras-chave

Electronic medical records; Game theory; Natural language processing; Privacy

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Linguagem Natural / Confidencialidade / Registros Eletrônicos de Saúde Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

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