Mr.Dec: Daily-Scale Longitudinal Multimodal Modeling for 30-Day Readmission Prediction
Leveraging Transformer decoders and multimodal EHR data to predict hospital readmission through temporal analysis.
Predicting 30-day hospital readmission is essential for assessing patient stability and optimizing healthcare resources. As clinical risk evolves with the accumulation of evidence during hospitalization, capturing these dynamic trajectories is essential. However, many existing ap...
ArXiv CS.LG
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Mr.Dec advances clinical predictive analytics by replacing static patient snapshots with a dynamic, time-aligned approach that mirrors real-world hospital workflows. By identifying 'Critical Days' during a patient's stay, this model provides actionable insights that could significantly improve resource allocation and reduce costly hospital readmissions.
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