Deep Diabetologist: Learning to Prescribe Hypoglycemic Medications with Recurrent Neural Networks.

Journal: Studies in health technology and informatics
Published Date:

Abstract

In healthcare, applying deep learning models to electronic health records (EHRs) has drawn considerable attention. This sequential nature of EHR data make them wellmatched for the power of Recurrent Neural Network (RNN). In this poster, we propose "Deep Diabetologist" - using RNNs for EHR sequential data modeling to provide personalized hypoglycemic medication prediction for diabetic patients. Our results demonstrate improved performance compared with a baseline classifier using logistic regression.

Authors

  • Jing Mei
    Ping An Technology, Shenzhen, China.
  • Shiwan Zhao
    IBM Research China, Beijing, China.
  • Feng Jin
    IBM Research China, Beijing, China.
  • Lingxiao Zhang
    Department of Computer Science, Peking University, Beijing, China.
  • Haifeng Liu
    IBM Research China, Beijing, China.
  • Xiang Li
    Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
  • Guotong Xie
    Ping An Health Technology, Beijing, China.
  • Xuejun Li
  • Meilin Xu
    Pfizer Investment Co. Ltd., Beijing, China.