Accurate survival prediction of breast cancer holds significant meaning for improving patient care. Approaches using multiple heterogeneous modalities such as gene expression, copy number alteration,
De-identified, de-faced structural MRI files for 90 participants, as well as co-registration error data used in the computation of intra-class correlations. Abstract:Magnetoencephalography (MEG
This study develops the LGBM-3SC-CF product, a machine learning framework that integrates multi-source data (Himawari-8, ERA5, ASTERDEM, and rain gauge) to significantly improve rainfall classificatio
