Data mining on medical data has great potential to improve the treatment quality of hospitals
and increase the survival rate of patients. Every year, 4--17\% of patients undergo
cardiopulmonary or respiratory arrest while in hospitals. Early prediction techniques have
become an apparent need in many clinical area. Clinical study has found early detection
and intervention to be essential for preventing clinical deterioration in patients at general
hospital units. In this paper, based on data mining technology, we propose an early warning�…

Data mining on medical data has great potential to improve the treatment quality of hospitals
and increase the survival rate of patients. Every year, 4–17% of patients undergo
cardiopulmonary or respiratory arrest while in hospitals. Early prediction techniques have
become an apparent need in many clinical area. Clinical study has found early detection
and intervention to be essential for preventing clinical deterioration in patients at general
hospital units. In this paper, based on data mining technology, we propose an early warning�…