A comparison of decision tree, logistic regression, artificial neural network and random forest algorithms to predict suicidal ideation among young adults in Malaysia
Suicide is a significant global public health issue, and Malaysia is no exception, with a high incidence rate. On average, approximately 10 suicide deaths occur daily in the country, alongside numerous attempted suicides. Hence, the key indicators for suicidal ideation should be identified so that c...
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| Main Authors: | , |
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| Format: | Article |
| Language: | en |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2025
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| Online Access: | http://journalarticle.ukm.my/26412/1/Paper_4%20-.pdf http://journalarticle.ukm.my/26412/ https://www.ukm.my/jqma/ |
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