Single classifer vs. ensemble machine learning approaches for mental health prediction
Early prediction of mental health issues among individuals is paramount for early diagnosis and treatment by mental health professionals. One of the promising approaches to achieving fully automated computer-based approaches for predicting mental health problems is via machine learning. As such, thi...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
Springer Nature
2023
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/38461/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38461/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/38461/ https://doi.org/10.1186/s40708-022-00180-6 |
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