Processing Diabetes Mellitus Composite Events in MAGPIE.

The focus of this research is in the definition of programmable expert Personal Health Systems (PHS) to monitor patients affected by chronic diseases using agent oriented programming and mobile computing to represent the interactions happening amongst the components of the system. The paper also discusses issues of knowledge representation within the medical domain when dealing with temporal patterns concerning the physiological values of the patient. In the presented agent based PHS the doctors can personalize for each patient monitoring rules that can be defined in a graphical way. Furthermore, to achieve better scalability, the computations for monitoring the patients are distributed among their devices rather than being performed in a centralized server. The system is evaluated using data of 21 diabetic patients to detect temporal patterns according to a set of monitoring rules defined. The system's scalability is evaluated by comparing it with a centralized approach. The evaluation concerning the detection of temporal patterns highlights the system's ability to monitor chronic patients affected by diabetes. Regarding the scalability, the results show the fact that an approach exploiting the use of mobile computing is more scalable than a centralized approach. Therefore, more likely to satisfy the needs of next generation PHSs. PHSs are becoming an adopted technology to deal with the surge of patients affected by chronic illnesses. This paper discusses architectural choices to make an agent based PHS more scalable by using a distributed mobile computing approach. It also discusses how to model the medical knowledge in the PHS in such a way that it is modifiable at run time. The evaluation highlights the necessity of distributing the reasoning to the mobile part of the system and that modifiable rules are able to deal with the change in lifestyle of the patients affected by chronic illnesses.

[Prevalence, reasons, and forms of use of legal highs by internet-based survey participants]. / Ocena rozpowszechnienia, powodów i form uiycia tak zwanych "dopalaczy" przez uczestników ankiety internetowej.

AIM: The aim of this study was to assess the prevalence, causes and forms of the use of legal highs in Poland. METHODS: The study was based on an original questionnaire and was carried out through the Internet before banning of the legal highs in Poland. RESULTS: The study covered 3013 people, aged 24.7 +/- 6.9, of which 9.3% admitted to use legal highs (6.5% ofwomen, and 14.7% ofmen, P < 0.01). The highest percentage of legal highs users was in the age groups 19-25 years (10.6%). Most people taking legal highs did so less than 1 time per month (71.8%). The most common reasons for taking legal highs were curiosity (46.4%), the desire to have fun (26.8%), and to improve the well-being (10.7%). Legal highs were most often used during meetings with friends (68.9% of cases), and social events (52.1%). The majority of their users adopted other risky behaviors: 56.4% took them with alcohol, 86.4% tried narcotics at least once, and 13.9% decided to try narcotics after trying legal highs. CONCLUSIONS: 1. Among the respondents of the online survey 9.3% admitted to use legal highs. 2. A typical profile of a legal high user is a young man, using them out of curiosity, to improve the well-being or just for fun, usually in social situations. 3. Initiatives undertaken to reduce the use of legal highs have to consider the social context.