Interpretable Multimodal Machine Learning Predicts Rehabilitation Risk Across the Vestibulo-Sleep Neurological Spectrum: A Multi-Centre Development and External Validation Study
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资源简介：
De-identified multimodal clinical dataset and reproducibility code for three-class rehabilitation risk stratification in patients with vestibular dysfunction and comorbid sleep disorders, harmonised from TILDA, UK Biobank, NHANES, DizzyReg, SHHS, and MESA Sleep, with independent external validation from The Ninth Hospital of Wuhan (N = 1,153 derivation; N = 100 external).
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Zenodo创建时间：
2026-07-03
