Selective prediction for extracting unstructured clinical data.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Dec 22, 2023

Abstract

OBJECTIVE: While there are currently approaches to handle unstructured clinical data, such as manual abstraction and structured proxy variables, these methods may be time-consuming, not scalable, and imprecise. This article aims to determine whether selective prediction, which gives a model the option to abstain from generating a prediction, can improve the accuracy and efficiency of unstructured clinical data abstraction.

Authors

  • Akshay Swaminathan
    Stanford University School of Medicine, Stanford, CA, United States.
  • Ivan Lopez
    Stanford University School of Medicine, Stanford, CA, United States.
  • William Wang
    Department of Biology, Stanford University, Stanford, CA, United States.
  • Ujwal Srivastava
    Department of Computer Science, Stanford University, Stanford, CA, United States.
  • Edward Tran
    Department of Computer Science, Stanford University, Stanford, CA, United States.
  • Aarohi Bhargava-Shah
    Stanford University School of Medicine, Stanford, CA, United States.
  • Janet Y Wu
    Stanford University School of Medicine, Stanford, CA, United States.
  • Alexander L Ren
    Stanford University School of Medicine, Stanford, CA, United States.
  • Kaitlin Caoili
    Stanford University School of Medicine, Stanford, CA, United States.
  • Brandon Bui
    Department of Human Biology, Stanford University, Stanford, CA, United States.
  • Layth Alkhani
    Department of Bioengineering, Stanford University, Stanford, CA, United States.
  • Susan Lee
    Department of Computer Science, Stanford University, Stanford, CA, United States.
  • Nathan Mohit
    Department of Computer Science, Stanford University, Stanford, CA, United States.
  • Noel Seo
    Department of Sociology, Stanford University, Stanford, CA, United States.
  • Nicholas Macedo
    Department of Biology, Stanford University, Stanford, CA, United States.
  • Winson Cheng
    Department of Computer Science, Stanford University, Stanford, CA, United States.
  • Charles Liu
    Stanford Institute for Immunity, Transplantation and Infection (ITI), Stanford University, Stanford, CA, 94305, USA.
  • Reena Thomas
    Department of Neurology and Neurological Sciences, Stanford Health Care, Stanford, CA, United States.
  • Jonathan H Chen
    Stanford Center for Biomedical Informatics Research, Stanford, CA.
  • Olivier Gevaert
    Department of Biomedical Data Science, Stanford University, CA, 94305, USA.

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