Een applied to be able to show this info [17, 25].Computational and Mathematical Approaches in Medicine consumption and friendship relationships on distinct secondary schools. The questionnaire was initially developed by an online generic tool. It was later filled by a total of 214 students from 9 classrooms across three various secondary schools. A total of 145520 inquiries have been answered and stored inside a plain spreadsheet table. A few of the issues that had been discovered throughout the approach had been as follows. (i) Existing validated tests like AUDIT, FAS II, and others had to be introduced a single query at a time when creating the questionnaire. This led to errors or omissions that had to be detected and solved inside a time consuming reviewing process; and, even right after this approach, a number of the concerns remained with a quantity of misspelling errors when the questionnaire was published. (ii) Queries created for gathering a variety of relationships (friendship, consumption companions, household relationships, etc.) had to become constructed by introducing the list of involved students again and once more; even with employing some copy-paste tricks the course of action was pretty tedious and time consuming. Moreover, if a error was made inside the name of a student or if one student really should be removed in the questionnaire (or perhaps a new 1 added) once it had been currently introduced, then a cautious editing of each of the queries had to become accomplished. (iii) As soon as 1 questionnaire was completed, there was no way to use a a part of it in an additional, new a single; the only resolution was to copy and paste the entire questionnaire and edit the copy. (iv) When the questionnaires were filled, researchers had to devote about 30 minutes for each of your respondents so as to get the scores from their responses. Additionally, information has to be processed by people today who knows how each with the queries or validated tests score. (v) Social network analysis tools like Gephi [20], Pajek [26], and UCINET [18] were applied (as standalone applications) for obtaining network graphs from the collected information, spending about two hours per classroom within the approach. Some errors had been also created inside the approach of moving information in the spreadsheet for the given tools. In addition, only individuals professional in the field of social network analysis could carry out this step, plus the results were only meaningful to them. (vi) The final resulting set of processed data consisted in isolated pieces of data, that is certainly, graphs displaying social relationships and spreadsheets containing scores from the questionnaire. There was no straightforward technique to navigate the results or PubMed ID:http://www.ncbi.nlm.nih.gov/pubmed/21338362 to query to get a offered set of individuals using a provided score. It was very KS176 complicated to obtain a fantastic insight in to the predicament in the studied folks and groups relating to their alcohol consumption predicament and behavior. (vii) It was clear that 
in the event the questionnaire was to be presented once again towards the very same set of students in order3. Final results and DiscussionThe application that has been presented within this paper was created throughout a collaborative work exactly where healthcare and pc science researchers worked with each other together with the aim of facilitating studies 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 style and creation of the questionnaires applied to collect data for the presentation of the resulting sets of information and facts, h.