Chong, Hui Fern (2020) Suicide Prevention Chatbot. [Final Year Project Report] (Unpublished)
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Abstract
Suicide is known as the most serious public health issues. There are many risk factors such as depression, bipolar disorder, personality disorder and so on. Comparing those risk factors, depression is the second leading cause of global death in the age range 15-29 years. Even though the effective treatments are available, yet it is still lack of resources, lack of trained counsellors and failed to provide services to the depressive group 24 hours. This causes the depressive group unable to seek help on time and the suicidal thought grow up in their mind. Therefore, a Messenger bot, namely Suicide Prevention Chatbot, is developed to provide help to depressive people with suicidal thought and people around them by providing useful resources. User can access this chatbot anytime as it is operated 24 hours. Chatbot might not be able to answer some of the questions from user but it will collect the unanswered questions and update the reply by human admin accordingly. Suicide Prevention Chatbot allows the user to measure their depression level by asking the questions based on Beck’s Depression Inventory II and collecting the answer from user. This chatbot also allows the user to enquire suicide-related questions.
Item Type: | Final Year Project Report |
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Additional Information: | Project Report (BSc.) -- Universiti Malaysia Sarawak, 2020. |
Uncontrolled Keywords: | Suicide Prevention Chatbot, public health issues, Beck’s Depression Inventory I, depression, bipolar disorder, personality disorder, etc. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
Depositing User: | Gani |
Date Deposited: | 26 Jan 2021 01:26 |
Last Modified: | 11 Jan 2024 01:50 |
URI: | http://ir.unimas.my/id/eprint/34029 |
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