Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database.

Journal: PloS one
Published Date: Mar 13, 2019

Abstract

BACKGROUND: Intelligent decision support systems (IDSS) have been applied to tasks of disease management. Deep neural networks (DNNs) are artificial intelligent techniques to achieve high modeling power. The application of DNNs to large-scale data for estimating stroke risk needs to be assessed and validated. This study aims to apply a DNN for deriving a stroke predictive model using a big electronic health record database.

Authors

  • Chen-Ying Hung
  • Ching-Heng Lin
    Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan.
  • Tsuo-Hung Lan
    Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.
  • Giia-Sheun Peng
    Department of Internal Medicine, Taipei Veterans General Hospital, Hsinchu Branch, Hsinchu, Taiwan.
  • Chi-Chun Lee

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