Mining the Intensive Care Unit

The document discusses a novel approach to monitoring patients in intensive care units using various medical scoring systems such as Apache II and SOFA. It details a data mining effort with 361 patients, analyzing 23 attributes and utilizing algorithms to extract valuable information while achieving reliable outcomes with fewer variables. Future work is suggested to enhance dataset size and develop a more descriptive scoring system for improved accuracy.