Multimodal Machine Learning‐Based Marker Enables Early Detection and Prognosis Prediction for Hyperuricemia

Multimodal Machine Learning‐Based Marker Enables Early Detection and Prognosis Prediction for Hyperuricemia

Abstract Hyperuricemia (HUA) has emerged as the second most prevalent metabolic disorder characterized by prolonged and asymptomatic period, triggering gout and metabolism‐related outcomes. Early detection and prognosis prediction for HUA and gout are crucial for pre‐emptive interventions. Integrati...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Lin Zeng, Pengcheng Ma, Zeyang Li, Shengxing Liang, Chengkai Wu, Chang Hong, Yan Li, Hao Cui, Ruining Li, Jiaren Wang, Jingzhe He, Wenyuan Li, Lushan Xiao, Li Liu
स्वरूप: लेख
भाषा:English
प्रकाशित: Wiley 2024-09-01
श्रृंखला:Advanced Science
विषय:
gout
hyperuricemia
machine learning
multimodal
prognosis
stratification
ऑनलाइन पहुंच:https://doi.org/10.1002/advs.202404047

इंटरनेट

https://doi.org/10.1002/advs.202404047

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