Rahaman, Md Naimur and Chaki, Sudipto and Biswas, Md Shovon and Biswas, Milon and Ahmed, Shamim and Mahi, Md. Julkar Nayeen and Faruqui, Nuruzzaman (2022) Identifying the Signature of Suicidality : A Machine Learning Approach. In: Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India.
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Abstract
Suicide is a serious problem in today’s world. It would be useful to detect it sooner
to lower the death rate. This research proposes a machine learning-based prediction model in this respect. This research uses four traditional machine learning techniques to look at suicidality in
various groups of
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 15:20 |
| Last Modified: | 17 Apr 2026 06:12 |
| URI: | http://eprints.eai.eu/id/eprint/38794 |
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