A Systematic Review of Machine Learning in Substance Addiction
Patient treatment; Healthcare industry; Machine learning methods; Open doors; Systematic Review; Machine learning
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| Format: | Conference Paper |
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Institute of Electrical and Electronics Engineers Inc.
2023
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| _version_ | 1833350236869754880 |
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| author | Zulkifli N.F. Cob Z.C. Latif A.A. Drus S.M. |
| author2 | 57220808082 |
| author_facet | 57220808082 Zulkifli N.F. Cob Z.C. Latif A.A. Drus S.M. |
| author_sort | Zulkifli N.F. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Patient treatment; Healthcare industry; Machine learning methods; Open doors; Systematic Review; Machine learning |
| format | Conference Paper |
| id | my.uniten.dspace-25352 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | my.uniten.dspace-253522023-05-29T16:08:26Z A Systematic Review of Machine Learning in Substance Addiction Zulkifli N.F. Cob Z.C. Latif A.A. Drus S.M. 57220808082 25824919900 46461488000 56330463900 Patient treatment; Healthcare industry; Machine learning methods; Open doors; Systematic Review; Machine learning Substance addiction affects millions of people worldwide and there is no cure for addiction. With the emergence of machine learning, it has open doors for healthcare industry to incorporate technology to help healthcare workforce to make better decision in treating patients. By applying machine learning in understanding patients with substance addiction, it can help in determining their treatment. This paper aims to provide a summary of how effective machine learning method is applied in addiction studies in which 11 studies are included in this paper by using PRISMA methodology to find sources. � 2020 IEEE. Final 2023-05-29T08:08:26Z 2023-05-29T08:08:26Z 2020 Conference Paper 10.1109/ICIMU49871.2020.9243581 2-s2.0-85097639829 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097639829&doi=10.1109%2fICIMU49871.2020.9243581&partnerID=40&md5=7542b31ea6cbd200ae7ae78a975cbdb3 https://irepository.uniten.edu.my/handle/123456789/25352 9243581 103 107 Institute of Electrical and Electronics Engineers Inc. Scopus |
| spellingShingle | Zulkifli N.F. Cob Z.C. Latif A.A. Drus S.M. A Systematic Review of Machine Learning in Substance Addiction |
| title | A Systematic Review of Machine Learning in Substance Addiction |
| title_full | A Systematic Review of Machine Learning in Substance Addiction |
| title_fullStr | A Systematic Review of Machine Learning in Substance Addiction |
| title_full_unstemmed | A Systematic Review of Machine Learning in Substance Addiction |
| title_short | A Systematic Review of Machine Learning in Substance Addiction |
| title_sort | systematic review of machine learning in substance addiction |
| url_provider | http://dspace.uniten.edu.my/ |