Published on in Vol 6, No 5 (2018): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10662, first published .
A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study

A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study

A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study

Journals

  1. Xu X, Leung A, Smith R, Wong J, Chau P, Fong D. The relative risk of developing type 2 diabetes among individuals with prediabetes compared with individuals with normoglycaemia: Meta‐analysis and meta‐regression. Journal of Advanced Nursing 2020;76(12):3329 View
  2. Li J, Yuan P, Hu X, Huang J, Cui L, Cui J, Ma X, Jiang T, Yao X, Li J, Shi Y, Bi Z, Wang Y, Fu H, Wang J, Lin Y, Pai C, Guo X, Zhou C, Tu L, Xu J. A tongue features fusion approach to predicting prediabetes and diabetes with machine learning. Journal of Biomedical Informatics 2021;115:103693 View
  3. Roos T, Hochstadt S, Keuthage W, Kröger J, Lueg A, Mühlen H, Schütte L, Scheper N, Ehrmann D, Hermanns N, Heinemann L, Kulzer B. Level of Digitalization in Germany: Results of the Diabetes Digitalization and Technology (D.U.T) Report 2020. Journal of Diabetes Science and Technology 2020:193229682096555 View

Books/Policy Documents

  1. John M, Kleppisch M. Prävention und Gesundheitsförderung. View
  2. Leung A, Xu X. Encyclopedia of Gerontology and Population Aging. View
  3. John M, Kleppisch M. Prävention und Gesundheitsförderung. View