TeleCare of mental disorders by applying Semantic Web Technology

We present the design of a decision support system aiming to provide specific telecare capabilities between health experts and patients suffering from Bipolar Disorder (BD). Bipolar Disorder is a severe and recurrent mental illness related with high morbidity and evolves constantly in time. We focus on Breakthrough Depressive Episode, a scenario that develops when a patient shows depressive symptoms during pharmaceutical treatment. Using Semantic Web Technologies we developed SybillaTUC, a prototype Clinical Decision Support System, able to predict the evolution of the disease for each patient, alerting the clinician on the possibility of a crucial incident suggesting optimal treatment.