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Cited by in CrossRef
For: Chen CH, Wang CK, Wang CY, Chang CF, Chu TW. Roles of biochemistry data, lifestyle, and inflammation in identifying abnormal renal function in old Chinese. World J Clin Cases 2023; 11(29): 7004-7016 [PMID: 37946770 DOI: 10.12998/wjcc.v11.i29.7004]
URL: https://www.wjgnet.com/2307-8960/full/v11/i29/7004.htm
Number Citing Articles
1
Chun-Kai Wang, Ching-Yao Chang, Ta-Wei Chu, Yao-Jen Liang. Using Machine Learning to Identify the Relationships between Demographic, Biochemical, and Lifestyle Parameters and Plasma Vitamin D Concentration in Healthy Premenopausal Chinese WomenLife 2023; 13(12): 2257 doi: 10.3390/life13122257
2
Fernando Cardona. Exploring multifaceted factors in chronic kidney disease risk: A comprehensive analysis of biochemistry, lifestyle, and inflammation in elderly Chinese individualsWorld Journal of Clinical Cases 2024; 12(5): 1033-1035 doi: 10.12998/wjcc.v12.i5.1033
3
Chi-Hao Liu, Chun-Feng Chang, I-Chien Chen, Fan-Min Lin, Shiow-Jyu Tzou, Chung-Bao Hsieh, Ta-Wei Chu, Dee Pei. Machine Learning Prediction of Prediabetes in a Young Male Chinese Cohort with 5.8-Year Follow-UpDiagnostics 2024; 14(10): 979 doi: 10.3390/diagnostics14100979