A Model for Predicting the Class of Illicit Drug Suspects and Offenders

被引：3

作者：

Atsa'am, Donald D. ^{[1
]}

Balogun, Oluwafemi S. ^{[2
]}

Agjei, Richard O. ^{[3
]}

Devine, Samuel N. O. ^{[4
]}

Akingbade, Toluwalase J. ^{[5
]}

Omotehinwa, Temidayo O. ^{[6
]}

机构：

[1] Univ Free State, Fac Nat & Agr Sci, Dept Comp Sci & Informat, Bloemfontein, South Africa

[2] Univ Eastern Finland, Sch Comp, Kuopio, Finland

[3] Univ Cent Nicaragua Med Ctr, Dept Publ Hlth, Semaforos Del Zumen, Nicaragua

[4] Presbyterian Univ Coll, Dept Informat & Commun Technol, Abetifi Kwahu, Ghana

[5] Kogi State Univ, Dept Math Sci, Anyigba, Nigeria

[6] Achievers Univ, Dept Math Sci, Owo, Nigeria

来源：

JOURNAL OF DRUG ISSUES | 2022年 / 52卷 / 02期

关键词：

drug use; drug trafficking; suspect classification; classification model; artificial neural network; AFRICAN-AMERICAN; LOW-INCOME; TRAFFICKING; ABUSE; URBAN; EXPOSURE; ALCOHOL; NIGERIA;

D O I：

10.1177/00220426211049358

中图分类号：

R194 [卫生标准、卫生检查、医药管理];

学科分类号：

摘要：

In this study, the artificial neural network was deployed to develop a classification model for predicting the class of a drug-related suspect into either the drug peddler or non-drug peddler class. A dataset consisting of 262 observations on drug suspects and offenders in central Nigeria was used to train the model which uses parameters such as exhibit type, suspect's age, exhibit weight, and suspect's gender to predict the class of a suspect, with a predictive accuracy of 83%. The model sets the pace for the implementation of a full system for use at airports, seaports, police stations, and by security agents concerned with drug-related matters. The accurate classification of suspects and offenders will ensure a faster and correct reference to the sections of the drug law that correspond to a particular offence for appropriate actions such as prosecution or rehabilitation.

引用

页码：168 / 181

页数：14

共 56 条

[1]

Abdallah MM., 2019, TEXT PREEVENT PRESS

[2]

ABIODUN OA, 1991, CENT AFR J MED, V37, P24

[3]

Adeniyi, 2016, THESIS U CALABAR CAL

[4]

Adeniyi E.K., 2019, EUROPEAN SCI J, V15, P191