Pregled bibliografske jedinice broj: 1201992
CLASSIFICATION OF DRUG CONSUMERS USING ARTIFICIAL INTELLIGENCE ALGORITHMS
CLASSIFICATION OF DRUG CONSUMERS USING ARTIFICIAL INTELLIGENCE ALGORITHMS // World of health, 4 (2022), 56-63 (domaća recenzija, članak, znanstveni)
CROSBI ID: 1201992 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
CLASSIFICATION OF DRUG CONSUMERS USING ARTIFICIAL
INTELLIGENCE ALGORITHMS
Autori
Tolja, Katarina ; Musulin, Jelena ; Štifanić, Daniel ; Car, Zlatan
Izvornik
World of health (2623-5773) 4
(2022);
56-63
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
binary classification, k-Nearest Neighbors, Support Vector Machine, Multilayer Perceptron
Sažetak
Drug use disorder is one of the leading health problems in the world, which as a medical and social phenomenon has been attracting general attention for many years. Personal motives for which an individual decides to consume drugs vary. In this research dataset for drug users classification consists of information from 1885 respondents and their usage of 18 drugs, legal and illegal. Due to data imbalance, the research is based on three substances, ecstasy, cannabis, and nicotine. Three artificial intelligence algorithms, k-Nearest Neighbors (KNN), Support Vector Machine (SVM) and Multilayer Perceptron (MLP), were used to solve the classification problem. As a result, MLP achieved the highest AUC value compared to SVM and KNN.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti
POVEZANOST RADA
Projekti:
KK.01.1.1.01.0009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (EK )
--KK.01.2.2.03.0004 - Centar kompetencija za pametne gradove (CEKOM) (Car, Zlatan; Slavić, Nataša; Vilke, Siniša) ( CroRIS)
Ustanove:
Tehnički fakultet, Rijeka
