Building a Heroin Abuse Prediction Model: A Generalized Machine Learning Approach
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53082-1_1
Reference20 articles.
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2. Paolini, A.C.: Heroin usage: impact on student performance and truancy among high school students. J. Drug Issues 2(1), 853–861 (2016). https://doi.org/10.21767/2471-853X.100011
3. Morelato, M., Franscella, D., Esseiva, P., Broséus, J.: When does the cutting of cocaine and heroin occur? The first large-scale study based on the chemical analysis of cocaine and heroin seizures in Switzerland. Int. J. Drug Policy 73, 7–15 (2019). https://doi.org/10.1016/j.drugpo.2019.07.025
4. Becker, T., Papathomas, E., Chan, B.S.: Harm of heroin substitution for cocaine in opioid Naïve patients. Forensic Sci. Addict. Res. 2(4) (2018). https://doi.org/10.31031/FSAR.2018.02.000541
5. Unick, G., Rosenblum, D., Mars, S., Ciccarone, D.: The relationship between US heroin market dynamics and heroin-related overdose, 1992–2008. Addiction 109(11), 1889–1898 (2014). https://doi.org/10.1111/add.12664
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