3 papers
cs.AI2025
MedFuse: Multiplicative Embedding Fusion For Irregular Clinical Time Series
Yi-Hsien Hsieh, Ta-Jung Chien, Chun-Kai Huang +2
Clinical time series derived from electronic health records (EHRs) are inherently irregular, with asynchronous sampling, missing values, and heterogeneous feature dynamics. While n…
q-bio.QM2025
Learning from Limited Multi-Phase CT: Dual-Branch Prototype-Guided Framework for Early Recurrence Prediction in HCC
Hsin-Pei Yu, Si-Qin Lyu, Yi-Hsien Hsieh +4
Early recurrence (ER) prediction after curative-intent resection remains a critical challenge in the clinical management of hepatocellular carcinoma (HCC). Although contrast-enhanc…
cs.LG2024
Scalable Numerical Embeddings for Multivariate Time Series: Enhancing Healthcare Data Representation Learning
Chun-Kai Huang, Yi-Hsien Hsieh, Ta-Jung Chien +5
Multivariate time series (MTS) data, when sampled irregularly and asynchronously, often present extensive missing values. Conventional methodologies for MTS analysis tend to rely o…