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...

Cijeli opis

Bibliografski detalji

Glavni autori:	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
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2025-11-01
Serija:	BMC Medicine
Teme:	Gout Recurrence Artificial intelligence Prediction model Interpretable
Online pristup:	https://doi.org/10.1186/s12916-025-04454-8
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!