Deep Learning Approach for the Development of a Novel Predictive Model for Prostate Cancer.

Journal: Studies in health technology and informatics
Published Date: Jun 16, 2020

Abstract

We developed a deep learning approach for accurate prediction of PCA patients one year earlier with minimal features from electronic health records. The area under the receiver operating curve for prediction of PCA was 0.94. Moreover, the sensitivity and specificity of CNN were 0.87 and 0.88, respectively.

Authors

  • Mohaimenul Islam
    Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.
  • Hsuan-Chia Yang
    Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
  • Phung-Anh Nguyen
    Clinical Data Center, Office of Data Science, Taipei Medical University, Taipei, Taiwan.
  • Yu-Hsiang Wang
    College of Medicine, Taipei Medical University, Taipei, Taiwan.
  • Tahmina Nasrin Poly
    Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei, Taiwan; International Center for Health Information Technology(ICHIT), Taipei Medical University, Taipei, Taiwan.
  • Yu-Chuan Jack Li
    Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.

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