Intelligent depression detection and support system: Statistical analysis, psychological review and design implication

Mashrura Tasnim, Rifat Shahriyar, Nowshin Nahar, Hossain Mahmud
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引用次数: 18

Abstract

Depression is a familiar psychological disorder caused by a combination of genetic, biological, environmental, and psychological factors. Untreated depression carries a high cost in terms of relationship problems, family suffering, and loss of work productivity. However diagnosis and treatment of depression is difficult due to varied severity, frequency, and duration of symptoms in depressed individuals. In this study, correlation between depression levels and behavioral trends of individuals has been established through a survey involving around 120 undergraduate students. The survey outcome is analyzed from a psychological viewpoint and finally some design implications on an automated system of depression detection and support system have been proposed.
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智能抑郁检测与支持系统:统计分析、心理学回顾与设计启示
抑郁症是一种常见的心理障碍,由遗传、生物、环境和心理因素共同引起。未经治疗的抑郁症在关系问题、家庭痛苦和丧失工作效率方面代价高昂。然而,抑郁症的诊断和治疗是困难的,因为抑郁症患者的症状严重程度、频率和持续时间各不相同。本研究通过对约120名大学生的调查,确立了抑郁水平与个体行为倾向之间的相关性。从心理学的角度对调查结果进行了分析,并对抑郁症自动检测和支持系统的设计提出了建议。
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