Development and validation of a multidimensional and interpretable artificial intelligence model to predict gout recurrence in hospitalised patients: a real-world, ambispective multicentre cohort study in China
| Title: | Development and validation of a multidimensional and interpretable artificial intelligence model to predict gout recurrence in hospitalised patients: a real-world, ambispective multicentre cohort study in China |
|---|---|
| Authors: | Li, MengAff1, Aff2; Zhang, HuiAff1, Aff3; Chen, ShixianAff1; Zhong, FeiAff1, Aff2; Liu, JianiAff1, Aff3; Wu, JuanAff4; Lin, RuifengAff1, Aff3; Li, RuichangAff5; Wu, YuAff6; Xie, DanningAff1, Aff2; Zhang, KangyuAff7; Zheng, BowenAff8, Aff9, Aff10; Chen, XiaolingAff2; Cheng, ZhipengAff2; Jiang, YinxiuAff1, Aff2; Ye, HaixinAff1, Aff3; Cai, LiAff1, Aff3; Xie, RuixiaAff1, Aff3; Li, DongshengAff4; Zhu, JunqingAff1; Li, JuanAff1, Aff3, IDs12916025044548_cor1 |
| Source: | BMC Medicine. 23(1) |
| Database: | Springer Nature Journals |