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	Analysis of clinical predictors of kidney diseases in type 2 diabetes patients based on machine learning Journal article International Urology and Nephrology,2023, volume: 55, issue: 3, pages: 687-696 Authors: Hui, Dongna; Sun, Yiyang; Xu, Shixin; Liu, Junjie; He, Ping Favorite \| View/Download：20/0 \| Submit date：2023/04/18 Kidney diseases diagnosis Machine learning Noninvasive Type 2 diabetes mellitus
	Structural characterization and immunomodulatory activity of an exopolysaccharide from marine-derived Aspergillus versicolor SCAU141 Journal article International Journal of Biological Macromolecules,2023, volume: 227, pages: 329-339 Authors: Wu, Keyue; Li, Yiyang; Lin, Yuqi; Xu, Baojun; Yang, Jiajia Favorite \| View/Download：4/0 \| Submit date：2023/06/30 Amino acid metabolism Marine-derived fungus RAW264.7 macrophages
	Ferroptosis Related Immunomodulatory Effect of a Novel Extracellular Polysaccharides from Marine Fungus Aureobasidium melanogenum Journal article Marine Drugs,2022, volume: 20, issue: 5 Authors: Lin, Yuqi; Yang, Jiajia; Luo, Lianxiang; Zhang, Xiaoyong; Deng, Shengyu Favorite \| View/Download：4/0 \| Submit date：2023/06/30 Aureobasidium melanogenum ferroptosis immunomodulatory polysaccharide structural characterization
	Analysis of main risk factors causing stroke in Shanxi Province based on machine learning models Journal article Informatics in Medicine Unlocked,2021, volume: 26 Authors: Liu, Junjie; Sun, Yiyang; Ma, Jing; Tu,Jiachen; Deng, Yuhui Favorite \| View/Download：23/0 \| Submit date：2022/01/06 Stroke Machine learning Risk factor ranking SHAP value