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.
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| 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. |
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| Authors: | Li, Meng1,2 (AUTHOR), Zhang, Hui1,3 (AUTHOR), Chen, Shixian1 (AUTHOR), Zhong, Fei1,2 (AUTHOR), Liu, Jiani1,3 (AUTHOR), Wu, Juan4 (AUTHOR), Lin, Ruifeng1,3 (AUTHOR), Li, Ruichang5 (AUTHOR), Wu, Yu6 (AUTHOR), Xie, Danning1,2 (AUTHOR), Zhang, Kangyu7 (AUTHOR), Zheng, Bowen8,9,10 (AUTHOR), Chen, Xiaoling2 (AUTHOR), Cheng, Zhipeng2 (AUTHOR), Jiang, Yinxiu1,2 (AUTHOR), Ye, Haixin1,3 (AUTHOR), Cai, Li1,3 (AUTHOR), Xie, Ruixia1,3 (AUTHOR), Li, Dongsheng4 (AUTHOR), Zhu, Junqing1 (AUTHOR) |
| Source: | BMC Medicine. 11/4/2025, Vol. 23 Issue 1, p1-17. 17p. |
| Database: | Academic Search Ultimate |
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| ISSN: | 17417015 |
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| DOI: | 10.1186/s12916-025-04454-8 |
