Pulse Wave Velocity and Machine Learning to Predict Cardiovascular Outcomes in Prediabetic and Diabetic Populations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Link
http://link.springer.com/content/pdf/10.1007/s10916-019-1479-y.pdf
Reference38 articles.
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2. Wang, K.-L., Cheng, H.-M., Chuang, S.-Y., Spurgeon, H. A., Ting, C.-T., Lakatta, E. G. et al., Central or peripheral systolic or pulse pressure: Which best relates to target organs and future mortality? J Hypertens [Internet]. 27(3):461–467, 2009 Available from: http://europepmc.org/articles/PMC3178100.
3. Zhang, L., Wang, Z., Chen, Z., Wang, X., Tian, Y., Shao, L. et al., Central aortic systolic blood pressure exhibits advantages over brachial blood pressure measurements in chronic kidney disease risk prediction in women. Kidney Blood Press Res [Internet]. 43(4):1375–1387, 2018 Available from: https://www.karger.com/DOI/10.1159/000492952.
4. Zanchetti A, Dominiczak A, Coca A, Tsioufis C, Clement DL, Agabiti Rosei E, et al. 2018 ESC/ESH Guidelines for the management of arterial hypertension. Eur Heart J [Internet]. 2018 25;39(33):3021–104. Available from: https://doi.org/10.1093/eurheartj/ehy339
5. Willum-Hansen, T., Staessen, J. A., Torp-Pedersen, C., Rasmussen, S., Thijs, L., Ibsen, H., and Jeppesen, J., Prognostic value of aortic pulse wave velocity as index of arterial stiffness in the general population. Circulation. 113(5):664–670, 2006.
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