Monitoring Gestational Diabetes Mellitus with Cognitive Agents and Agent Environments
Stefano Bromuri, Michael Schumacher, Kostas Stathis, Juan Carlos Ruíz · 2011
This paper presents an agent-based pervasive healthcare system (PHS) to support pregnant women with Gestational Diabetes Mellitus (GDM). Such an infrastructure uses a mobile application to monitor patients affected by GDM, whose parameters are then sent to and analysed by cognitive agents. We utilise a symbolic reasoning approach to formalise the events happening in the system, the entities participating in the interaction and the agent cognitive model for continuous monitoring of GDM. Such a cognitive model is based on deductive treatment adjustment rules to provide doctors with indications about the patient's treatment and on abductive rules to provide a diagnosis of the illness' current state. We evaluate our system by means of medical data to assess the precision of our infrastructure.