Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer

Objective Machine learning techniques can be used to extract predictive models for diseases from electronic medical records (EMRs). However, the nature of EMRs makes it difficult to apply off-the-shelf machine learning techniques while still exploiting the rich content of the EMRs. In this paper, we...

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Bibliographic Details
Main Authors: Hoogendoorn, Mark (Author), Moons, Leon M.G (Author), Numans, Mattijs E. (Author), Szolovits, Peter (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Elsevier, 2017-09-07T16:06:17Z.
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