📢 Call for Reviewers
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About SD4H
Structured data lies at the core of modern healthcare, encompassing tabular electronic health records, high-frequency physiological time-series, and irregular clinical measurements collected over time. Together, these modalities provide complementary yet fragmented views of an individual’s health, making holistic modeling both essential and challenging. While recent advances in foundation models, multimodal learning, and large language models offer new opportunities to unify these data sources, the health domain presents unique constraints—including privacy, interpretability, irregular sampling, and clinical deployment—that remain largely underexplored.
Our Structured Data 4 Health workshop unites researchers across structured health data domains (from tabular EHR to biosignals and irregular clinical measurements) to address shared challenges through: (1) unifying fragmented data modalities, (2) bridging geographic and methodological divides, and (3) fostering convergence via interactive formats. By encouraging cross-domain collaboration on holistic and deployable health data modeling, we aim to bridge cutting-edge machine learning with real-world healthcare impact.
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Gold Level
