Automatic Prediction of Rheumatoid Arthritis Disease Activity from the Electronic Medical Records

OBJECTIVE: We aimed to mine the data in the Electronic Medical Record to automatically discover patients' Rheumatoid Arthritis disease activity at discrete rheumatology clinic visits. We cast the problem as a document classification task where the feature space includes concepts from the clinic...

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Detalles Bibliográficos
Autores principales: Lin, Chen, Karlson, Elizabeth W., Canhao, Helena, Miller, Timothy A., Dligach, Dmitriy, Chen, Pei Jun, Perez, Raul Natanael Guzman, Shen, Yuanyan, Weinblatt, Michael E., Shadick, Nancy A., Plenge, Robert M., Savova, Guergana K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3745469/
https://www.ncbi.nlm.nih.gov/pubmed/23976944
http://dx.doi.org/10.1371/journal.pone.0069932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3745469/
https://www.ncbi.nlm.nih.gov/pubmed/23976944
http://dx.doi.org/10.1371/journal.pone.0069932

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