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Cardiovascular Risk Based on ASCVD and KDIGO Categories in Chinese Adults: A Nationwide, Population-Based, Prospective Cohort Study.
Xu Y, Li M, Qin G, Lu J, Yan L, Xu M, Wang T, Zhao Z, Dai M, Zhang D, Wan Q, Huo Y, Chen L, Shi L, Hu R, Tang X, Su Q, Yu X, Qin Y, Chen G, Gao Z, Wang G, Shen F, Luo Z, Chen L, Chen Y, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Li Q, Bi Y, Zhao J, Mu Y, Wang W, Ning G; China Cardiometabolic Disease and Cancer Cohort (4C) Study Group; China Cardiometabolic Disease and Cancer Cohort (4C) Study Group Steering Committee and China Cardiometabolic Disease and Cancer Cohort (4C) Study Group Working Group. Xu Y, et al. Among authors: wang g, wang w, wang y, wang t. J Am Soc Nephrol. 2021 Apr;32(4):927-937. doi: 10.1681/ASN.2020060856. Epub 2021 Mar 4. J Am Soc Nephrol. 2021. PMID: 33788701 Free PMC article.
Predictive modeling the probability of suffering from metabolic syndrome using machine learning: A population-based study.
Hu X, Li XK, Wen S, Li X, Zeng TS, Zhang JY, Wang W, Bi Y, Zhang Q, Tian SH, Min J, Wang Y, Liu G, Huang H, Peng M, Zhang J, Wu C, Li YM, Sun H, Ning G, Chen LL. Hu X, et al. Among authors: wang w, wang y. Heliyon. 2022 Dec 10;8(12):e12343. doi: 10.1016/j.heliyon.2022.e12343. eCollection 2022 Dec. Heliyon. 2022. PMID: 36643319 Free PMC article.
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