Een applied in order to show this data [17, 25].Computational and Mathematical Solutions in Medicine consumption and friendship relationships on unique secondary schools. The questionnaire was initially designed by an internet generic tool. It was later filled by a total of 214 students from 9 classrooms across 3 different secondary schools. A total of 145520 inquiries were answered and stored in a plain spreadsheet table. Several of the difficulties that had been identified throughout the approach have been as follows. (i) Existing validated tests like AUDIT, FAS II, and other individuals had to become introduced one particular query at a time when building the questionnaire. This led to errors or omissions that had to become detected and solved in a time consuming reviewing method; and, even immediately after this approach, a number of the questions remained with a number of misspelling errors when the questionnaire was published. (ii) Concerns produced for gathering a number of relationships (friendship, consumption companions, household relationships, etc.) had to become constructed by introducing the list of involved students once again and once again; even with utilizing some copy-paste tricks the procedure was really tedious and time consuming. Moreover, if a error was created KS176 web inside the name of a student or if a single student should be removed from the questionnaire (or possibly a new one added) once it had been currently introduced, then a cautious editing of all the concerns had to be achieved. (iii) As soon as one particular questionnaire was completed, there was no technique to use a part of it in a further, new 1; the only solution was to copy and paste the whole questionnaire and edit the copy. (iv) When the questionnaires were filled, researchers had to invest about 30 minutes for each on the respondents in an effort to receive the scores from their responses. Furthermore, information has to be processed by men and women who knows how every single from the concerns or validated tests score. (v) Social network evaluation tools like Gephi [20], Pajek [26], and UCINET [18] had been applied (as standalone applications) for obtaining network graphs from the collected information, spending about two hours per classroom inside the procedure. Some blunders have been also made inside the method of moving information in the spreadsheet towards the provided tools. Moreover, only individuals professional inside the field of social network analysis could perform this step, as well as the final results had been only meaningful to them. (vi) The final resulting set of processed information consisted in isolated pieces of information and facts, that’s, graphs displaying social relationships and spreadsheets containing scores from the questionnaire. There was no uncomplicated approach to navigate the outcomes or PubMed ID:http://www.ncbi.nlm.nih.gov/pubmed/21338362 to query for any offered set of folks using a provided score. It was really tricky to obtain a great insight in to the predicament of the studied folks and groups regarding their alcohol consumption circumstance and behavior. (vii) It was clear that if the questionnaire was to be presented once again towards the very same set of students in order3. Final results and DiscussionThe application which has been presented within this paper was developed for the duration of a collaborative work where healthcare and laptop or computer science researchers worked together using the aim of facilitating research about alcohol consumption in adolescent population combining regular alcohol consumption habit measures with metrics and tools from social network evaluation. The objective was to cover every step on the method, from the design and creation with the questionnaires applied to gather data to the presentation with the resulting sets of facts, h.
