Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records.

Journal: Computer methods and programs in biomedicine
Published Date: Aug 27, 2019

Abstract

OBJECTIVE: Diabetes is responsible for considerable morbidity, healthcare utilisation and mortality in both developed and developing countries. Currently, methods of treating diabetes are inadequate and costly so prevention becomes an important step in reducing the burden of diabetes and its complications. Electronic health records (EHRs) for each individual or a population have become important tools in understanding developing trends of diseases. Using EHRs to predict the onset of diabetes could improve the quality and efficiency of medical care. In this paper, we apply a wide and deep learning model that combines the strength of a generalised linear model with various features and a deep feed-forward neural network to improve the prediction of the onset of type 2 diabetes mellitus (T2DM).

Authors

  • Binh P Nguyen
    School of Mathematics and Statistics, Victoria University of Wellington, Kelburn Parade, Wellington 6140, New Zealand.
  • Hung N Pham
    School of Information and Communication Technology, Hanoi University of Science and Technology, 1 Dai Co Viet Road, Hanoi 100000, Vietnam.
  • Hop Tran
    School of Mathematics and Statistics, Victoria University of Wellington, Kelburn Parade, Wellington 6140, New Zealand.
  • Nhung Nghiem
    Department of Public Health, University of Otago, 23A Mein Street, Wellington 6021, New Zealand.
  • Quang H Nguyen
    School of Information and Communication Technology, Hanoi University of Science and Technology, 1 Dai Co Viet Road, Hanoi 100000, Vietnam.
  • Trang T T Do
    School of Business and Information Technology, Wellington Institute of Technology, 21 Kensington Avenue, Lower Hutt 5012, New Zealand.
  • Cao Truong Tran
    Faculty of Information Technology, Le Quy Don Technical University, 236 Hoang Quoc Viet Street, Hanoi 100000, Vietnam.
  • Colin R Simpson
    Asthma UK Centre for Applied Research, Edinburgh, UK.

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