Data integration of structured and unstructured sources for assigning clinical codes to patient stays

@article{Scheurwegs2016DataIO,
  title={Data integration of structured and unstructured sources for assigning clinical codes to patient stays},
  author={Elyne Scheurwegs and Kim Luyckx and L{\'e}on Luyten and Walter Daelemans and Tim Van den Bulcke},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  year={2016},
  volume={23 e1},
  pages={e11-9}
}
OBJECTIVE Enormous amounts of healthcare data are becoming increasingly accessible through the large-scale adoption of electronic health records. In this work, structured and unstructured (textual) data are combined to assign clinical diagnostic and procedural codes (specifically ICD-9-CM) to patient stays. We investigate whether integrating these heterogeneous data types improves prediction strength compared to using the data types in isolation. METHODS Two separate data integration… CONTINUE READING
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