Header Logo

Connection

Feifan Liu to Natural Language Processing

This is a "connection" page, showing publications Feifan Liu has written about Natural Language Processing.
Connection Strength

1.609
  1. Liu F, Pradhan R, Druhl E, Freund E, Liu W, Sauer BC, Cunningham F, Gordon AJ, Peters CB, Yu H. Learning to detect and understand drug discontinuation events from clinical narratives. J Am Med Inform Assoc. 2019 10 01; 26(10):943-951.
    View in: PubMed
    Score: 0.627
  2. Liu F, Tur G, Hakkani-T?r D, Yu H. Towards spoken clinical-question answering: evaluating and adapting automatic speech-recognition systems for spoken clinical questions. J Am Med Inform Assoc. 2011 Sep-Oct; 18(5):625-30.
    View in: PubMed
    Score: 0.354
  3. Liu F, Zhou P, Baccei SJ, Masciocchi MJ, Amornsiripanitch N, Kiefe CI, Rosen MP. Qualifying Certainty in Radiology Reports through Deep Learning-Based Natural Language Processing. AJNR Am J Neuroradiol. 2021 10; 42(10):1755-1761.
    View in: PubMed
    Score: 0.179
  4. Jagannatha A, Liu F, Liu W, Yu H. Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0). Drug Saf. 2019 01; 42(1):99-111.
    View in: PubMed
    Score: 0.149
  5. Liu F, Yu H. Learning to rank figures within a biomedical article. PLoS One. 2014; 9(3):e61567.
    View in: PubMed
    Score: 0.107
  6. Liu F, Antieau LD, Yu H. Toward automated consumer question answering: automatically separating consumer questions from professional questions in the healthcare domain. J Biomed Inform. 2011 Dec; 44(6):1032-8.
    View in: PubMed
    Score: 0.089
  7. Li Z, Liu F, Antieau L, Cao Y, Yu H. Lancet: a high precision medication event extraction system for clinical text. J Am Med Inform Assoc. 2010 Sep-Oct; 17(5):563-7.
    View in: PubMed
    Score: 0.084
  8. Cao Y, Liu F, Simpson P, Antieau L, Bennett A, Cimino JJ, Ely J, Yu H. AskHERMES: An online question answering system for complex clinical questions. J Biomed Inform. 2011 Apr; 44(2):277-88.
    View in: PubMed
    Score: 0.021
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.