AI RESEARCH
mtslearn: Machine Learning in Python for Medical Time Series
arXiv CS.LG
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ArXi:2603.29432v1 Announce Type: new Medical time-series data captures the dynamic progression of patient conditions, playing a vital role in modern clinical decision systems. However, real-world clinical data is highly heterogeneous and inconsistently formatted. Furthermore, existing machine learning tools often have steep learning curves and fragmented workflows. Consequently, a significant gap remains between cutting-edge AI technologies and clinical application. To address this, we