Een applied as a way to show this details [17, 25].Computational and Mathematical Solutions in Medicine consumption and friendship relationships on diverse secondary schools. The questionnaire was initially designed by a web-based generic tool. It was later filled by a total of 214 students from 9 classrooms across three distinctive secondary schools. A total of 145520 concerns have been answered and stored in a plain spreadsheet table. Some of the difficulties that were identified through the procedure were as follows. (i) Existing validated tests like AUDIT, FAS II, and other individuals had to become introduced one question at a time when developing the questionnaire. This led to mistakes or omissions that had to be detected and solved inside a time consuming reviewing procedure; and, even 
immediately after this process, some of the Zidebactam In Vivo inquiries remained with a quantity of misspelling errors when the questionnaire was published. (ii) Queries designed for gathering several relationships (friendship, consumption companions, loved ones relationships, and so on.) had to become constructed by introducing the list of involved students once again and again; even with applying some copy-paste tricks the procedure was very tedious and time consuming. In addition, if a mistake was created inside the name of a student or if 1 student should really be removed in the questionnaire (or perhaps a new one added) after it had been already introduced, then a cautious editing of all of the questions had to be accomplished. (iii) Once 1 questionnaire was completed, there was no way to use a part of it in a different, new 1; the only option was to copy and paste the whole questionnaire and edit the copy. (iv) After the questionnaires were filled, researchers had to commit about 30 minutes for every of the respondents to be able to acquire the scores from their responses. Furthermore, information have to be processed by people who knows how every from the queries or validated tests score. (v) Social network evaluation tools like Gephi [20], Pajek [26], and UCINET [18] have been employed (as standalone applications) for acquiring network graphs from the collected data, spending about two hours per classroom within the approach. Some errors were also made in the process of moving data in the spreadsheet for the given tools. Furthermore, only people today specialist in the field of social network analysis could perform this step, plus the outcomes have been only meaningful to them. (vi) The final resulting set of processed information consisted in isolated pieces of data, that’s, graphs displaying social relationships and spreadsheets containing scores in the questionnaire. There was no straightforward method to navigate the outcomes or PubMed ID:http://www.ncbi.nlm.nih.gov/pubmed/21338362 to query for a offered set of individuals with a provided score. It was pretty challenging to get a fantastic insight into the circumstance from the studied men and women and groups regarding their alcohol consumption scenario and behavior. (vii) It was clear that if the questionnaire was to be presented once again to the exact same set of students in order3. Final results and DiscussionThe application that has been presented within this paper was created for the duration of a collaborative work where healthcare and pc science researchers worked with each other with all the aim of facilitating research about alcohol consumption in adolescent population combining conventional alcohol consumption habit measures with metrics and tools from social network evaluation. The objective was to cover each and every step with the method, in the design and style and creation of the questionnaires made use of to gather data towards the presentation in the resulting sets of details, h.