Identifying Disease of Interest With Deep Learning Using Diagnosis Code.

Journal: Journal of Korean medical science
Published Date: Mar 20, 2023

Abstract

BACKGROUND: Autoencoder (AE) is one of the deep learning techniques that uses an artificial neural network to reconstruct its input data in the output layer. We constructed a novel supervised AE model and tested its performance in the prediction of a co-existence of the disease of interest only using diagnostic codes.

Authors

  • Yoon-Sik Cho
    Department of Data Science, Sejong University, Seoul, 05006, South Korea.
  • Eunsun Kim
    Department of Data Science, Sejong University, Seoul, Korea.
  • Patrick L Stafford
    Department of Medicine, University of Virginia, Charlottesville, VA, USA.
  • Min-Hwan Oh
    Graduate School of Data Science, Seoul National University, Seoul, Korea.
  • Younghoon Kwon
    Department of Medicine, University of Washington, Seattle, WA, USA.

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