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

Abstract Background Gout is the most common inflammatory arthritis. Recurrent flares are common among hospitalised patients and contribute to substantial clinical and economic burden. However, the accurate prediction of inpatient recurrence remains challenging, particularly in individuals with comor...

Olles dieđut

Bibliográfalaš dieđut

Váldodahkkit:	Meng Li, Hui Zhang, Shixian Chen, Fei Zhong, Jiani Liu, Juan Wu, Ruifeng Lin, Ruichang Li, Yu Wu, Danning Xie, Kangyu Zhang, Bowen Zheng, Xiaoling Chen, Zhipeng Cheng, Yinxiu Jiang, Haixin Ye, Li Cai, Ruixia Xie, Dongsheng Li, Junqing Zhu, Juan Li
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	BMC 2025-11-01
Ráidu:	BMC Medicine
Fáttát:	Gout Recurrence Artificial intelligence Prediction model Interpretable
Liŋkkat:	https://doi.org/10.1186/s12916-025-04454-8
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!