For: | Xiong FX, Sun L, Zhang XJ, Chen JL, Zhou Y, Ji XM, Meng PP, Wu T, Wang XB, Hou YX. Machine learning-based models for advanced fibrosis in non-alcoholic steatohepatitis patients: A cohort study. World J Gastroenterol 2025; 31(9): 101383 [PMID: 40061588 DOI: 10.3748/wjg.v31.i9.101383] |
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URL: | https://www.wjgnet.com/1007-9327/full/v31/i9/101383.htm |
Number | Citing Articles |
1 |
Huan Zhang, Xiangyu Wu, Wenjing Ni, Jiali Wu, Sisi Zhou, Leyao Jia, Mingyang Jin, Sitian Zhao, Zhenyao Jiang, Chao Wu, Yuxiang Sun, Junping Shi, Jie Li. Application of machine learning and deep learning in metabolic dysfunction-associated steatotic liver disease: a systematic review and meta-analysis. Journal of Advanced Research 2025; doi: 10.1016/j.jare.2025.08.042
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2 |
Min Cho, Yanzhen Qu. Enhancing Precision Oncology: Deep Learning Models vs. Classical Machine Learning Models in Multi-Label Breast Cancer Classification. European Journal of Electrical Engineering and Computer Science 2025; 9(3): 16 doi: 10.24018/ejece.2025.9.3.711
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3 |
Catherine Lalman, Kylie R. Stabler, Yimin Yang, Janice L. Walker. Supervised Machine-Based Learning and Computational Analysis to Reveal Unique Molecular Signatures Associated with Wound Healing and Fibrotic Outcomes to Lens Injury. International Journal of Molecular Sciences 2025; 26(15): 7422 doi: 10.3390/ijms26157422
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