vCBT

Dataset equipped with the information relating to students’ personal and educational background propensities, intelligence, achievements, interest, plans etc. Data collection process had structured dialogue with specific target group i.e. university students. There were four ways of data collection – in-person interviews, online interview, mail and phone call. Main target was to get primary data that is reliable and can be easily used in machine learning algorithm for better analytics and detect behavioural disorders namely depression, anxiety and internet addiction.本数据集涵盖学生个人与教育背景倾向、智力水平、学业成就、兴趣爱好、未来规划等相关信息。数据采集环节针对特定目标群体——大学生开展了结构化对话。数据采集共采用四种方式：线下访谈、线上访谈、邮件调研与电话访谈。本次采集的核心目标是获取可靠的一手数据，以适配机器学习算法开展更优质的分析，并用于检测抑郁、焦虑与网络成瘾等行为障碍。