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For: Leung AY, Xu XY, Chau PH, Yu YTE, Cheung MK, Wong CK, Fong DY, Wong JY, Lam CL. A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study. JMIR Mhealth Uhealth 2018;6:e10662. [PMID: 29793901 DOI: 10.2196/10662] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Abqari U, van 't Noordende AT, Hendrik Richardus J, Atoillah Isfandiari M, Korfage IJ. Strategies to promote the use of online health applications for early detection and raising awareness of chronic diseases among members of the general public: a systematic literature review. International Journal of Medical Informatics 2022. [DOI: 10.1016/j.ijmedinf.2022.104737] [Reference Citation Analysis]
2 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. J Diabetes Sci Technol 2020;:1932296820965553. [PMID: 33106043 DOI: 10.1177/1932296820965553] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Buss VH, Varnfield M, Harris M, Barr M. Remotely Conducted App-Based Intervention for Cardiovascular Disease and Diabetes Risk Awareness and Prevention: Single-Group Feasibility Trial. JMIR Hum Factors 2022;9:e38469. [PMID: 35776504 DOI: 10.2196/38469] [Reference Citation Analysis]
4 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. J Biomed Inform 2021;115:103693. [PMID: 33540076 DOI: 10.1016/j.jbi.2021.103693] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]