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CHILDPATH: Diagnose Depression in Pre-Schoolers Based on Daily Activities

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dc.contributor.author Logeswaran, Kirthika
dc.date.accessioned 2021-08-05T05:44:36Z
dc.date.available 2021-08-05T05:44:36Z
dc.date.issued 2020
dc.identifier.citation Logeswaran, Kirthika (2020) CHILDPATH: Diagnose Depression in Pre-Schoolers Based on Daily Activities, BSc. Dissertation Informatics Institute of Technology en_US
dc.identifier.other 2016324
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/677
dc.description.abstract Feeling low occasionally is a normal part of life. However, when emotions such as hopelessness and despair are persistent, it may be due to a mental health disorder. The most common mental health disorder worldwide stands to be depression affecting adults, adolescents and children as young as pre-schoolers. One of the key defenses against depression is early detection based on symptoms. With the availability of diagnosis tools, depression in adults and adolescents can be easily recognized. However, there is a gap around diagnosis in pre-schoolers. Identifying depression in pre-schoolers is more challenging due to several reasons including lack of awareness, long term identification processes, feelings indirectly expressed and unnoticed by parents. Based on the background, this project aims to analyse and identify depression symptoms in pre-schoolers and to design, develop and evaluate an IT solution to detect potential psychological distress in pre-schoolers and to seek for professional support. To validate the background, aspects such as causes, symptoms, treatment plans, depression statuses and existing diagnosis theories were investigated using reviews of literature. To propose an effective solution, the findings were further evaluated via interviews with medical experts and questionnaires circulated among parents of preschoolers. The results of the evaluation suggested a need for a depression status calculation mechanism in pre-schoolers. It was identified that two key consultation techniques can be utilized based on the identified depression status i.e. video consultation and personalized treatment plans catering to the pre-schoolers needs. Hence, the ChildPath mobile application was formulated on the findings to diagnose depression status in preschoolers. It is based on recording daily activities for a period of 30-days and connects users with professional practitioners in the field. This solution offers services including tracking the progress of the pre-schooler and connecting parents with support help groups to create awareness and overcome social comparison. Experts and non-experts ChildPath | Logeswaran K iv evaluated the IT solution and commended on the process of identification of the depression status. Recommendations and future implementations will be integrated in the future release. en_US
dc.subject Depression en_US
dc.subject Pre School en_US
dc.subject Mental health disorder en_US
dc.title CHILDPATH: Diagnose Depression in Pre-Schoolers Based on Daily Activities en_US
dc.type Thesis en_US


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