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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Библиографические подробности
Главные авторы: 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.
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2013
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Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC3745469/
https://ncbi.nlm.nih.gov/pubmed/23976944
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0069932
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