A pervasive approach to a real-time intelligent decision support system in intensive medicine

The decision on the most appropriate procedure to provide to the patients the best healthcare possible is a critical and complex task in Intensive Care Units (ICU). Clinical Decision Support Systems (CDSS) should deal with huge amounts of data and online monitoring, analyzing numerous parameters and providing outputs in a short real-time. Although the advances attained in this area of knowledge new challenges should be taken into account in future CDSS developments, principally in ICUs environments. The next generation of CDSS will be pervasive and ubiquitous providing the doctors with the appropriate services and information in order to support decisions regardless the time or the local where they are. Consequently new requirements arise namely the privacy of data and the security in data access. This paper will present a pervasive perspective of the decision making process in the context of INTCare system, an intelligent decision support system for intensive medicine. Three scenarios are explored using data mining models continuously assessed and optimized. Some preliminary results are depicted and discussed.Fundação para a Ciência e a Tecnologia (FCT

Depression in Epilepsy: Mechanisms and Therapeutic Approach

In patients with epilepsy, mood disorders represent a frequent psychiatric comorbidity but they often remain unrecognized and untreated. However, comorbid depression may have a major impact on the quality of life of patients with epilepsy, sometimes even more than the seizures. Among the potential neurobiological and psychosocial determinants, epilepsy-related variables (age at onset of seizures, temporal lobe epilepsy and frequency of seizures) and the antiepileptic drug treatment have been associated with depression. Nonetheless, data on treatment strategies are still limited with a lack of controlled trials on the use of antidepressant drugs. Moreover, the issue of psychotropic drug treatment of depression in epilepsy is interlinked with that of worsening seizures. This paper is aimed at discussing all these subjects in the light of current literature on the neurobiology of depression in epilepsy