Article

Outcome Prediction Models for Critically Ill Patients Using Small Routine Laboratory Datasets

2026-04-27

Abstract excerpt

We present a suite of foundational, outcome prediction models for critically ill patients, developed using readily available, routine blood tests and advanced machine learning techniques. The input data of the models includes complete blood counts (CBCs), metabolic panels, and additional biomarkers that assess liver and kidney function, coagulation status, and cardiac injury. The output yields the predicted outcom...

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Literature Corpus work: b91a392d-a233-5a12-90e3-9f1284ec0803
DOI: 10.64898/2026.04.26.26351758

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