Article

Unsupervised Cluster-Augmented Mortality Prediction in MIMIC-IV Using Tabular ICU Time-Series Aggregation and Gradient Boosted Learning

2026-05-06

Abstract excerpt

<title>Abstract</title> <p>Predicting in-hospital mortality for ICU patients remains one of the harder problems in clinical machine learning, largely because the data are messy, imbalanced, and recorded at irregular intervals. We built a framework that tackles this by combining three components: statistical aggregation of raw laboratory time-series, unsupervised patient clustering to surface latent physiological...

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Literature Corpus work: e399da84-eb58-5869-9c70-72014d9ff15b
DOI: 10.21203/rs.3.rs-9612331/v1

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