CLASSIFICATION OF DRUG CONSUMERS USING ARTIFICIAL INTELLIGENCE ALGORITHMS

Tolja, Katarina; Musulin, Jelena; Štifanić, Daniel; Car, Zlatan

Pregled bibliografske jedinice broj: 1185487

CLASSIFICATION OF DRUG CONSUMERS USING ARTIFICIAL INTELLIGENCE ALGORITHMS

Tolja, Katarina; Musulin, Jelena; Štifanić, Daniel; Car, Zlatan

CLASSIFICATION OF DRUG CONSUMERS USING ARTIFICIAL INTELLIGENCE ALGORITHMS // World of health, 4 (2021), 56-63 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 1185487 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 (2021); 56-63

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
binary classification, k-Nearest Neighbors, Support Vector Machine, Multi-layer 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 Multi-layer 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
Računarstvo

POVEZANOST RADA

Projekti:
Ostalo-CEI - 305.6019-20 - Use of regressive artificial intelligence (AI) and machine learning (ML) methods in modelling of COVID-19 spread (COVIDAi) (Car, Zlatan, Ostalo - CEI Extraordinary Call for Proposals 2020) ( CroRIS)
InoUstZnVO-CIII-HR-0108-10 - Concurrent Product and Technology Development - Teaching, Research and Implementation of Joint Programs Oriented in Production and Industrial Engineering (Car, Zlatan, InoUstZnVO - CEEPUS) ( CroRIS)

--KK.01.2.2.03.0004 - Centar kompetencija za pametne gradove (CEKOM) (Car, Zlatan; Slavić, Nataša; Vilke, Siniša) ( CroRIS)
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-275-1447 - Razvoj inteligentnog ekspertnog sustava za online diagnostiku raka mokračnog mjehura (Car, Zlatan, NadSve - UNIRI potpore) ( CroRIS)