Towards the Inference of Social and Behavioral Determinants of Sexual Health: Development of a Gold-Standard Corpus with Semi-Supervised Learning.

Journal: AMIA ... Annual Symposium proceedings. AMIA Symposium
Published Date: Jan 1, 2018

Abstract

Social and behavioral determinants of health (SBDH) are environmental and behavioral factors that are increasingly recognized for their impact on health outcomes. We describe ongoing research to extract SBDH related to sexual health from clinical documentation. Our work addresses several challenges. First, there is no standard set of SBDHs for sexual health; we describe our curation of 38 such SBDHs. Second, it is unknown how SBDH related to sexual health are expressed in clinical notes; we detail the characteristics of an annotated corpus. Third, SBDH documentations are rare; we describe the use of semi-supervised learning to accelerate the annotation process by identifying notes likely to document SBDH. Fourth, we describe preliminary results to infer an array of SBDH from clinical documentation using supervised learning.

Authors

  • Daniel J Feller
    Columbia University, New York, NY, USA.
  • Jason Zucker
    Columbia University, New York, NY, USA.
  • Oliver Bear Don't Walk
    Columbia University, New York, NY, USA.
  • Bharat Srikishan
    Columbia University, New York, NY, USA.
  • Roxana Martinez
    Columbia University, New York, NY, USA.
  • Henry Evans
    Columbia University, New York, NY, USA.
  • Michael T Yin
    Columbia University, New York, NY, USA.
  • Peter Gordon
    Columbia University, New York, NY, USA.
  • Noémie Elhadad
    Biomedical Informatics, Columbia University, New York, NY, USA.

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