Published on 23.04.19 in Vol 7, No 4 (2019): April
Works citing "A Noninvasive, Economical, and Instant-Result Method to Diagnose and Monitor Type 2 Diabetes Using Pulse Wave: Case-Control Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/11959):
(note that this is only a small subset of citations)
- Yarza S, Hassan L, Shtein A, Lesser D, Novack L, Katra I, Kloog I, Novack V. Novel Approaches to Air Pollution Exposure and Clinical Outcomes Assessment in Environmental Health Studies. Atmosphere 2020;11(2):122CrossRef
- Chaki J, Thillai Ganesh S, Cidham S, Ananda Theertan S. Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review. Journal of King Saud University - Computer and Information Sciences 2020;CrossRef
- Wang ZC, Zhang SP, Yuen PC, Chan KW, Chan YY, Cheung CH, Chow CH, Chua KK, Hu J, Hu Z, Lao B, Leung CC, Li H, Zhong L, Liu X, Liu Y, Liu Z, Lun X, Mo W, Siu SY, Xiong Z, Yeung WF, Zhang RY, Zhang X. Intra-Rater and Inter-Rater Reliability of Tongue Coating Diagnosis in Traditional Chinese Medicine Using Smartphones: Quasi-Delphi Study. JMIR mHealth and uHealth 2020;8(7):e16018CrossRef
- Ding X, Cheng F, Morris R, Chen C, Wang Y. Machine Learning–Based Signal Quality Evaluation of Single-Period Radial Artery Pulse Waves: Model Development and Validation. JMIR Medical Informatics 2020;8(6):e18134CrossRef