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Cited by in F6Publishing
For: Birjandi M, Ayatollahi SM, Pourahmad S, Safarpour AR. Prediction and Diagnosis of Non-Alcoholic Fatty Liver Disease (NAFLD) and Identification of Its Associated Factors Using the Classification Tree Method. Iran Red Crescent Med J 2016;18:e32858. [PMID: 28191344 DOI: 10.5812/ircmj.32858] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 1.7] [Reference Citation Analysis]
Number Citing Articles
1 Kabisch S, Bäther S, Dambeck U, Kemper M, Gerbracht C, Honsek C, Sachno A, Pfeiffer AFH. Liver Fat Scores Moderately Reflect Interventional Changes in Liver Fat Content by a Low-Fat Diet but Not by a Low-Carb Diet. Nutrients 2018;10:E157. [PMID: 29385034 DOI: 10.3390/nu10020157] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 2.8] [Reference Citation Analysis]
2 Le MH, Yeo YH, Li X, Li J, Zou B, Wu Y, Ye Q, Huang DQ, Zhao C, Zhang J, Liu C, Chang N, Xing F, Yan S, Hui WZ, Sook Yee NT, Mayumi M, Liu X, Liu C, Rui F, Yang H, Yang Y, Jin R, Le RHX, Xu Y, Le DM, Barnett S, Stave CD, Cheung R, Zhu Q, Nguyen MH. 2019 Global NAFLD Prevalence: A Systematic Review and Meta-analysis. Clin Gastroenterol Hepatol 2021:S1542-3565(21)01280-5. [PMID: 34890795 DOI: 10.1016/j.cgh.2021.12.002] [Reference Citation Analysis]
3 Atsawarungruangkit A, Laoveeravat P, Promrat K. Machine learning models for predicting non-alcoholic fatty liver disease in the general United States population: NHANES database. World J Hepatol 2021; 13(10): 1417-1427 [PMID: 34786176 DOI: 10.4254/wjh.v13.i10.1417] [Reference Citation Analysis]
4 Yang T, Hu LY, Li ZL, Liu K, Wu H, Xing H, Lau WY, Pawlik TM, Zeng YY, Zhou YH, Gu WM, Wang H, Chen TH, Han J, Li C, Wang MD, Wu MC, Shen F. Liver Resection for Hepatocellular Carcinoma in Non-alcoholic Fatty Liver Disease: a Multicenter Propensity Matching Analysis with HBV-HCC. J Gastrointest Surg 2020;24:320-9. [PMID: 30617773 DOI: 10.1007/s11605-018-04071-2] [Cited by in Crossref: 8] [Cited by in F6Publishing: 11] [Article Influence: 2.7] [Reference Citation Analysis]
5 García-Carretero R, Holgado-Cuadrado R, Barquero-Pérez Ó. Assessment of Classification Models and Relevant Features on Nonalcoholic Steatohepatitis Using Random Forest. Entropy (Basel) 2021;23:763. [PMID: 34204225 DOI: 10.3390/e23060763] [Reference Citation Analysis]
6 Wang S, Zhang J, Zhang W, Wang H, Hou J, Zhang R, Liu H, Wu S. [Predictive value of body mass index combined with waist circumference for new-onset nonalcoholic fatty liver disease in patients with type 2 diabetes mellitus]. Nan Fang Yi Ke Da Xue Xue Bao 2019;39:1293-7. [PMID: 31852647 DOI: 10.12122/j.issn.1673-4254.2019.11.05] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
7 Wu C, Yeh W, Hsu W, Islam MM, Nguyen PA, Poly TN, Wang Y, Yang H, (Jack) Li Y. Prediction of fatty liver disease using machine learning algorithms. Computer Methods and Programs in Biomedicine 2019;170:23-9. [DOI: 10.1016/j.cmpb.2018.12.032] [Cited by in Crossref: 52] [Cited by in F6Publishing: 26] [Article Influence: 17.3] [Reference Citation Analysis]
8 Wu CT, Chu TW, Jang JR. Current-Visit and Next-Visit Prediction for Fatty Liver Disease With a Large-Scale Dataset: Model Development and Performance Comparison. JMIR Med Inform 2021;9:e26398. [PMID: 34387552 DOI: 10.2196/26398] [Reference Citation Analysis]
9 Zamanian H, Mostaar A, Azadeh P, Ahmadi M. Implementation of Combinational Deep Learning Algorithm for Non-alcoholic Fatty Liver Classification in Ultrasound Images. J Biomed Phys Eng 2021;11:73-84. [PMID: 33564642 DOI: 10.31661/jbpe.v0i0.2009-1180] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
10 Kabisch S, Markova M, Hornemann S, Sucher S, Pivovarova-Ramich O, Machann J, Hierholzer J, Rohn S, Pfeiffer AFH. Liver fat scores do not reflect interventional changes in liver fat content induced by high-protein diets. Sci Rep 2021;11:8843. [PMID: 33893355 DOI: 10.1038/s41598-021-87360-2] [Reference Citation Analysis]