Now showing items 1-4 of 4

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

      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. (Public Library of Science, 2013)
      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 ...
    • A common type system for clinical natural language processing 

      Wu, Stephen T; Kaggal, Vinod C; Dligach, Dmitriy; Masanz, James J; Chen, Pei; Becker, Lee; Chapman, Wendy W; Savova, Guergana Kirilova; Liu, Hongfang; Chute, Christopher G (BioMed Central, 2013)
      Background: One challenge in reusing clinical data stored in electronic medical records is that these data are heterogenous. Clinical Natural Language Processing (NLP) plays an important role in transforming information ...
    • Discovering body site and severity modifiers in clinical texts 

      Dligach, Dmitriy; Bethard, Steven; Becker, Lee; Miller, Timothy; Savova, Guergana K (BMJ Publishing Group, 2014)
      Objective: To research computational methods for discovering body site and severity modifiers in clinical texts. Methods: We cast the task of discovering body site and severity modifiers as a relation extraction problem ...
    • Towards comprehensive syntactic and semantic annotations of the clinical narrative 

      Albright, Daniel; Lanfranchi, Arrick; Fredriksen, Anwen; Styler, William F; Warner, Colin; Hwang, Jena D; Choi, Jinho D; Dligach, Dmitriy; Nielsen, Rodney D; Martin, James; Ward, Wayne; Palmer, Martha; Savova, Guergana K (BMJ Publishing Group, 2013)
      Objective: To create annotated clinical narratives with layers of syntactic and semantic labels to facilitate advances in clinical natural language processing (NLP). To develop NLP algorithms and open source components. ...