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.
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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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Wang, L. et al. (2018). The Development of a Smart Personalized Evidence Based Medicine Diabetes Risk Factor Calculator. In: Chen, H., Fang, Q., Zeng, D., Wu, J. (eds) Smart Health. ICSH 2018. Lecture Notes in Computer Science(), vol 10983. Springer, Cham. https://doi.org/10.1007/978-3-030-03649-2_29
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DOI: https://doi.org/10.1007/978-3-030-03649-2_29
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