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Gökhan Aba

Biographic Data

ID7837481
NAMEGökhan Aba
GIVEN NAMESGökhan
FAMILY NAMEAba
SIGNATUREABA G
AFFILIATIONSBandırma Onyedi Eylül University
ORCID0000-0002-4742-3217
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2026
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Modeling tobacco dependence using penalized regression and machine learning

    Arzu Bulut, Gökhan Aba et al.•ARTICLE•Journal of Ethnicity in Substance…•2026

    This study aimed to predict nicotine dependence levels among university students in Türkiye by modeling the Fagerström Test for Nicotine Dependence (FTND) score as a continuous outcome using penalized regression and machine learning (ML) approaches. A cross-sectional study was conducted with a stratified sample of 1,120 university students, examining 24 psychological, behavioral, motivational, and sociodemographic variables. Six predictive models…

No prominent works on this page.

  • Modeling tobacco dependence using penalized regression and machine learning

    Arzu Bulut, Gökhan Aba et al.•ARTICLE•Journal of Ethnicity in Substance…•2026

    This study aimed to predict nicotine dependence levels among university students in Türkiye by modeling the Fagerström Test for Nicotine Dependence (FTND) score as a continuous outcome using penalized regression and machine learning (ML) approaches. A cross-sectional study was conducted with a stratified sample of 1,120 university students, examining 24 psychological, behavioral, motivational, and sociodemographic variables. Six predictive models…

Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 work) · Discriminative model (1 work) · Elastic net regularization (1 work) · Feature selection (1 work) · Interpretability (1 work) · Lasso (programming language (1 work) · Linear regression (1 work) · Predictive modelling (1 work) · Predictive value (1 work) · Regression (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae