Depression level estimation during covid 19

This Dataset presents data for the estimation of depression level estimation based in factor psychological and life experiences during and after pandemic Covid-19. The data contains 31 attributes and 2953 records, the records are labelled with the class variable Normal and Anormal that indicate the respective level of depression. 33% of the data was generated synthetically using the Weka tool and the SMOTE filter, 66% of the data was collected directly from users through a web platform. This data can be used to generate intelligent computational tools to identify the depression level of an individual and to build recommender systems that monitor depression levels.本数据集提供了基于新冠疫情（COVID-19）期间及疫后心理因素与生活经历的抑郁水平评估相关数据。该数据集共包含31个属性与2953条记录，所有记录均通过分类变量Normal（正常）与Anormal（异常）标注对应个体的抑郁程度。其中33%的数据通过Weka工具与SMOTE滤波器合成生成，剩余66%的数据则通过网络平台直接从用户处采集得到。本数据集可用于构建可识别个体抑郁水平的智能计算工具，以及开发用于监测抑郁程度的推荐系统。