Evaluating the Accuracy of Automated Notifiable Condition Detection in Free-Text Electronic Laboratory Report Results Using Contemporary Text Mining and Machine Learning Methods - researchr publication

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Uzay Kirbiyik, Patrick Lai, Brian E. Dixon, Shaun J. Grannis, Suranga Nath Kasthurirathne. Evaluating the Accuracy of Automated Notifiable Condition Detection in Free-Text Electronic Laboratory Report Results Using Contemporary Text Mining and Machine Learning Methods. In AMIA 2015, American Medical Informatics Association Annual Symposium, San Francisco, CA, USA, November 14-18, 2015. AMIA, 2015. [doi]

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