Ayşe Sema Maraşlı
Biographic Data
| ID | 7837483 |
|---|---|
| NAME | Ayşe Sema Maraşlı |
| GIVEN NAMES | Ayşe Sema |
| FAMILY NAME | Maraşlı |
| SIGNATURE | MARAŞLI A S |
| AFFILIATIONS | Bandırma Onyedi Eylül University |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Modeling tobacco dependence using penalized regression and machine learning
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
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)