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For: Yu CS, Lin CH, Lin YJ, Lin SY, Wang ST, Wu JL, Tsai MH, Chang SS. Clustering Heatmap for Visualizing and Exploring Complex and High-dimensional Data Related to Chronic Kidney Disease. J Clin Med 2020;9:E403. [PMID: 32024311 DOI: 10.3390/jcm9020403] [Cited by in Crossref: 9] [Cited by in F6Publishing: 6] [Article Influence: 4.5] [Reference Citation Analysis]
Number Citing Articles
1 Cao X, Lin Y, Yang B, Li Y, Zhou J. Comparison Between Statistical Model and Machine Learning Methods for Predicting the Risk of Renal Function Decline Using Routine Clinical Data in Health Screening. RMHP 2022;Volume 15:817-26. [DOI: 10.2147/rmhp.s346856] [Reference Citation Analysis]
2 Garibotto G. A Changing Perspective for Treatment of Chronic Kidney Disease. J Clin Med 2021;10:3840. [PMID: 34501287 DOI: 10.3390/jcm10173840] [Reference Citation Analysis]
3 Butsenko E. How Data Mining Can Improve Road Safety in Cities. Social Sciences 2022;11:130. [DOI: 10.3390/socsci11030130] [Reference Citation Analysis]
4 Ortiz K, Garcia MA, Briceño E, Diminich ED, Arévalo SP, Vega IE, Tarraf W. Glycosylated hemoglobin level, race/ethnicity, and cognition in midlife and early old age. Res Hum Dev 2020;17:20-40. [PMID: 34093090 DOI: 10.1080/15427609.2020.1743810] [Reference Citation Analysis]
5 Kim M, Jee SC, Kim S, Hwang KH, Sung JS. Identification and Characterization of mRNA Biomarkers for Sodium Cyanide Exposure. Toxics 2021;9:288. [PMID: 34822678 DOI: 10.3390/toxics9110288] [Reference Citation Analysis]
6 Yu CS, Chang SS, Lin CH, Lin YJ, Wu JL, Chen RJ. Identify the Characteristics of Metabolic Syndrome and Non-obese Phenotype: Data Visualization and a Machine Learning Approach. Front Med (Lausanne) 2021;8:626580. [PMID: 33898478 DOI: 10.3389/fmed.2021.626580] [Reference Citation Analysis]
7 Lin YJ, Chen RJ, Tang JH, Yu CS, Wu JL, Chen LC, Chang SS. Machine-Learning Monitoring System for Predicting Mortality Among Patients With Noncancer End-Stage Liver Disease: Retrospective Study. JMIR Med Inform 2020;8:e24305. [PMID: 33124991 DOI: 10.2196/24305] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
8 Yu CS, Chen YD, Chang SS, Tang JH, Wu JL, Lin CH. Exploring and predicting mortality among patients with end-stage liver disease without cancer: a machine learning approach. Eur J Gastroenterol Hepatol 2021;33:1117-23. [PMID: 33905216 DOI: 10.1097/MEG.0000000000002169] [Reference Citation Analysis]
9 Yu CS, Lin YJ, Lin CH, Lin SY, Wu JL, Chang SS. Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach. J Med Internet Res 2020;22:e18585. [PMID: 32501272 DOI: 10.2196/18585] [Cited by in Crossref: 12] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
10 Kaur P, Dutta V, Pradhan BL, Haldar S, Chauhan S, Gajpal Y. A Pythagorean Fuzzy Approach for Sustainable Supplier Selection Using TODIM. Mathematical Problems in Engineering 2021;2021:1-11. [DOI: 10.1155/2021/4254894] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Alam L, Mueller S. Examining the effect of explanation on satisfaction and trust in AI diagnostic systems. BMC Med Inform Decis Mak 2021;21:178. [PMID: 34082719 DOI: 10.1186/s12911-021-01542-6] [Reference Citation Analysis]
12 Chan YJ, Chang SS, Wu JL, Wang ST, Yu CS. Association between liver stiffness measurement by transient elastography and chronic kidney disease. Medicine (Baltimore) 2022;101:e28658. [PMID: 35089208 DOI: 10.1097/MD.0000000000028658] [Reference Citation Analysis]