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Structured EHR Features Used to Predict 30-Day Readmission on MIMIC-IV
A new arXiv paper proposes knowledge-enriched structured features drawn from electronic health records to predict whether a patient will be readmitted within 30 days. The authors position the approach as an alternative to models that depend on discharge summaries and pretrained language models, which require clinical notes and carry heavy computational costs. Evaluation is conducted on the MIMIC-IV dataset.