Parsimonious Logistic Regression Models for 90-Day Mortality Prediction in the Intensive Care Unit
Sadiq A Olayinka · 2025
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Description
IntroductionEarly identification of critically ill patients is essential in intensive care units to guide triage and allocate resources. To support these decisions, prognostic scoring systems are commonly used to estimate illness severity and predict outcomes. The Acute Physiology and Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment (SOFA) are among the most widely used.
Catalog record
| CREATOR | Sadiq A Olayinka |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |