Machine learning-based comparison of factors influencing estimated glomerular filtration rate in Chinese women with or without non-alcoholic fatty liver

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May 26, 2024 (publication date) through Sep 26, 2024

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World Journal of Clinical Cases

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2307-8960

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Clin Cases. May 26, 2024; 12(15): 2506-2521
Published online May 26, 2024. doi: 10.12998/wjcc.v12.i15.2506

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Figure 2 Flowchart of the proposed machine learning methods. XGBoost: eXtreme gradient boosting.

Citation: Chen IC, Chou LJ, Huang SC, Chu TW, Lee SS. Machine learning-based comparison of factors influencing estimated glomerular filtration rate in Chinese women with or without non-alcoholic fatty liver. World J Clin Cases 2024; 12(15): 2506-2521
URL: https://www.wjgnet.com/2307-8960/full/v12/i15/2506.htm
DOI: https://dx.doi.org/10.12998/wjcc.v12.i15.2506