Data classification technique for assessing drug use in adolescents in secondary education

Basit Öğe Kaydı
dc.contributor.authorAjibade, Samuel-Soma M.
dc.contributor.authorOyebode, Oluwadare Joshua
dc.contributor.authorDayupay, Johnry P.
dc.contributor.authorGido, Nathaniel G.
dc.contributor.authorTabuena, Almighty C.
dc.contributor.authorKilag, Osias Kit T.
dc.date.accessioned2023-01-30T13:30:30Z
dc.date.available2023-01-30T13:30:30Z
dc.date.issued2022en_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractThe reasons why students abuse drugs are crucial information. Knowledge of the difficulties associated with drug use can be improved by employing data mining techniques, which have many advantages. The focus of this study is to examine the causes of drug abuse among Lagos's high school students usingdata mining methods. In February of 2021, a cross-sectional study was conducted. Four hundred teenagers and young adults were present. They were given a questionnaire to fill out about their drug use habits, the types of drugs they take, and why they takethem. We found that 59.1% of students drank alcohol, 23.6 % smoked cigarettes, 15.4 % used cannabis, and 3.1% used cocaine. In addition, the performance of 5 classifiers is compared in terms of correctly classified instances (CCI), with all of them performing better than the simplest classifier (more frequent category: used drug/never used drugs) in terms of the percentage of correctly classified instances. KNN yielded the highest CCI across the board when various drugs were compared (alcohol: 82.40 percent, tobacco: 66.22 percent, cannabis: 91.16 percent, and cocaine: 94.24). Use motives obtained a higher classifier performance when it came to alcohol and tobacco use, but the opposite was true for cannabis and cocaine. Peer pressure and the community in which a teen lives are two major factors that we found to have a significantimpact on that teen's drug use.en_US
dc.identifier.doi10.47750/pnr.2022.13.S04.114en_US
dc.identifier.urihttps://hdl.handle.net/11467/6176
dc.identifier.urihttps://doi.org/10.47750/pnr.2022.13.S04.114
dc.identifier.wosWOS:000876850200031en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherResearchTrentz Academy Publishing Education Servicesen_US
dc.relation.ispartofJournal of Pharmaceutical Negative Resultsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDrug use, Data mining method, alcohol, tobacco, cannabis, cocaine, secondary educationen_US
dc.titleData classification technique for assessing drug use in adolescents in secondary educationen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
971-977_Data+Classification+Technique+for+Assessing+Drug+Use+in+Adolescents+in+Secondary+Education.pdf
Boyut:
221.16 KB
Biçim:
Adobe Portable Document Format
Açıklama:
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.56 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu