Word2Vec inversion and traditional text classifiers for phenotyping lupus.

Turner, Clayton A; Jacobs, Alexander D; Marques, Cassios K; Oates, James C; Kamen, Diane L; Anderson, Paul E; Obeid, Jihad S

Turner, Clayton A; Jacobs, Alexander D; Marques, Cassios K; Oates, James C; Kamen, Diane L; Anderson, Paul E; Obeid, Jihad S.

Afiliação

Turner CA; Department of Computer Science, College of Charleston, 66 George Street, Charleston, 29424, USA. caturner3@g.cofc.edu.
Jacobs AD; Department of Computer Science, College of Charleston, 66 George Street, Charleston, 29424, USA.
Marques CK; Department of Computer Science, College of Charleston, 66 George Street, Charleston, 29424, USA.
Oates JC; Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, Charleston, 29425, USA.
Kamen DL; Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, Charleston, 29425, USA.
Anderson PE; Department of Computer Science, College of Charleston, 66 George Street, Charleston, 29424, USA.
Obeid JS; Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, Charleston, 29425, USA.

BMC Med Inform Decis Mak ; 17(1): 126, 2017 Aug 22.

Article em En | MEDLINE | ID: mdl-28830409

Assuntos

Inteligência Artificial; Registros Eletrônicos de Saúde; Lúpus Eritematoso Sistêmico; Algoritmos; Teorema de Bayes; Conjuntos de Dados como Assunto; Humanos; Classificação Internacional de Doenças; Aprendizado de Máquina; Processamento de Linguagem Natural; Redes Neurais de Computação; Unified Medical Language System

Palavras-chave

Machine learning; Natural language processing; Systemic lupus erythematosus

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Registros Eletrônicos de Saúde / Lúpus Eritematoso Sistêmico Idioma: En Ano de publicação: 2017 Tipo de documento: Article

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