Ambient Intelligence Healthcare Monitoring Information Architecture (AIHMIA)

Abstract

In this paper we have used the concepts of an enterprise view to Ambient Intelligence (AmI) healthcare monitoring (HCM) information management towards understanding the whole and making sense out of it to develop AmI Health care monitoring Information Architecture (AmIHCMIA). In the effort of assisted HCM and reduce the problem of traditional HCM. Under the umbrella of an information architecture research for AmIHCM, the objective of this paper is to develop novel intelligent ensemble healthcare decision support and monitoring system to classify the situation of an emergency hospital based on the Vital Signs from simulation wearable sensors and to construct AmIHCM Information Architecture (IA) based on existing enterprise frameworks. Zachman Enterprise Framework was used to guide the development of the AmIHCMIA. The paper also employed classification techniques using ensemble-voting model combining with J48, Random Forest, Random Tree classifiers. Results showed that the architectural representation guided by the selected framework could provide a holistic view to the management of AmI healthcare monitoring data. Moreover the novel intelligent ensemble health care decision support and monitoring system experiments with promising performance.