On the use of the incremental support vector machines for monitoring systems in intensive care unit

This paper intends to propose an on-line monitoring system based on the incremental support vector machines (LASVM). In fact, the current monitoring system in ICU presents a real threat for the patient life due to the high rate of false or non significant alarms. In this paper we aim to improve the current system by applying an intelligent and on-line classification method (the LASVM). This method adds new instances of medical parameters of patients over time and deals with large amount of data streams in ICU. Besides, the LASVM generates an optimal model of prediction which provides a better and correct description of the different patients´ states over time. All obtained results of the LASVM on real-medical databases prove the performance of this new system. Our proposal reduces the false alarms and conserves the high level of sensitivity compared to the standard SVM and the current system.