Application of Gradient Boosting Classifier-Based Computational Intelligence to Detect Drug Addiction Threat in Society
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0892-5_14
Reference18 articles.
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2. Jing, Y., Hu, Z., Fan, P., Xue, Y., Wang, L., Tarter, R.E., Kirisci, L., Wang, J., Vanyukov, M., Xie, X.Q.: Analysis of substance use and its outcomes by machine learning I. Childhood evaluation of liability to substance use disorder. Drug Alcohol Depend. 2020 January 1;206, 107605. https://doi.org/10.1016/j.drugalcdep.2019.107605. Epub 2019 Oct 22. PMID: 31839402; PMCID: PMC6980708
3. Arif, M., Sany, S.I., Sharmin, F., Rahman, S., Habib, T.: Prediction of addiction to drugs and alcohol using machine learning: a case study on Bangladeshi population. Int. J. Electr. Comput. Eng. (IJECE). 11, 4471 (2021). https://doi.org/10.11591/ijece.v11i5.pp4471-4480
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