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A 153.3 KB PDF research paper proposing a novel method for forecasting medical irregular multivariate time series. The paper, authored by Xueping Liu and published on figshare under CC-BY-4.0, describes the MTFP-DG model which uses multi-scale patching and dynamic graphs to handle irregular sampling and complex dependencies. The method was validated on five real-world medical datasets.
The file is a research paper (PDF), not a direct dataset of time series records.