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The Development of a Smart Personalized Evidence Based Medicine Diabetes Risk Factor Calculator

  • Lei Wang
  • Defu He
  • Xiaowei Ni
  • Ruyi Zou
  • Xinlu Yuan
  • Yujuan Shang
  • Xinping Hu
  • Xingyun Geng
  • Kui Jiang
  • Jiancheng Dong
  • Huiqun WuEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10983)

Abstract

Type 2 diabetes mellitus (T2DM) is a chronic disease affected with complex risk factors and has been regarded as one of the major social burdens due to its high occurrence. In this study, we aim to incorporate the idea of evidence based medicine (EBM) into our diabetes risk factor App development. We acquired and extracted the relative risk of different risk factors from relevant literature by searching academic databases. A total of 19 items of risk factors in our daily lives has been finally selected. To design App graphic interface, a total of three pages were designed to let user answer the questions and show the results of their level or risk to have T2DM. We validated the feasibility of our App in 100 users and the results were promising. Therefore, the personalized EBM diabetes risk factor calculator might be a feasible approach to remind those T2DM risky populations by revealing their potential risk factors, thus making implementation of personalized and prevention medicine achievable at hand.

Keywords

Evidence based medicine Personalize medicine Diabetes Mobile medicine 

Notes

Acknowledgements

This work was supported by the grant from National Key R&D Program of China (2018YFC1314902), National Natural Science Foundation of China (No. 81501559, 81371663), Natural Science Foundation of the Higher Education Institutions of Jiangsu Province (No. 15KJB310015) and Science and Technology Project of Nantong City (MS12015180).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Lei Wang
    • 1
  • Defu He
    • 1
  • Xiaowei Ni
    • 1
  • Ruyi Zou
    • 1
  • Xinlu Yuan
    • 2
  • Yujuan Shang
    • 1
  • Xinping Hu
    • 1
  • Xingyun Geng
    • 1
  • Kui Jiang
    • 1
  • Jiancheng Dong
    • 1
  • Huiqun Wu
    • 1
    Email author
  1. 1.Department of Medical InformaticsMedical School of Nantong UniversityNantongChina
  2. 2.Department of EndocrinologyAffiliated Hospital of Nantong UniversityNantongChina

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