1. Mining the Intensive Care
Unit: Knowledge
Extraction out of Medical
Scoring Systems
Eirini Lygkoni & Georgios Tziralis, NTUA
DMINBIO 2009, May 08-09, Athens
4. the problem
• patients admitted to intensive care units
• need to reliably monitor their status
• track the expectability of overpassing their
incident
5. given solution
• Scoring Systems - tracking the heaviness of
an ilness
• APACHE II (Acute Physiology and Chronic
Health Evaluation)
• APACHE III
• SAPS II (Simplified Acute Physiology Score)
• SOFA (Sequential Organ Failure Score)
13. discussion
• introduced a novel approach to assessing the
status of patients in intensive care unit
• quality results with less variables needed
• more easily comprehensible & discrete
outcomes
• though maybe need to combine them
somehow
14. future work
• more extended, generalizable dataset
needed
• formalization of a simplified and more
descriptive new scoring system, out of
mining outcomes
• reach an accuracy rate close to 100%