Reinhard Laubenbacher
Dados Biográficos
| ID | 6470712 |
|---|---|
| NOME | Reinhard Laubenbacher |
| PRENOMES | Reinhard |
| SOBRENOME | Laubenbacher |
| ASSINATURA | LAUBENBACHER R |
| AFILIAÇÕES | University of Florida |
| ORCID | 0000-0002-9143-9451 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2014 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2021 |
| ÍNDICE H | 0 |
E-Cigarette Use in Young Adult Never Cigarette Smokers with Disabilities
Young adult never cigarette smokers with disabilities may be at particular risk for adopting e-cigarettes, but little attention has been paid to these people. This study examines the associations between different types of disability and e-cigarette use in this population. Young adult never-smokers from the 2016-2017 Behavioral Risk Factor Surveillance System (BRFSS) survey who were either never or current e-cigarette users ( n = 79,177) were sel…
Factors Associated with E-Cigarette Use in U.S. Young Adult Never Smokers of Conventional Cigarettes
E-cigarette use is increasing among young adult never smokers of conventional cigarettes, but the awareness of the factors associated with e-cigarette use in this population is limited. The goal of this work was to use machine learning (ML) algorithms to determine the factors associated with current e-cigarette use among US young adult never cigarette smokers. Young adult (18-34 years) never cigarette smokers from the 2016 and 2017 Behavioral Ris…
Optimization of Agent-Based Models
Questions concerning how one can influence an agent-based model in order to best achieve some specific goal are optimization problems. In many models, the number of possible control inputs is too large to be enumerated by computers; hence methods must be developed in order to find solutions that do not require a search of the entire solution space. Model reduction techniques are introduced and a statistical measure for model similarity is propose…
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Optimization of Agent-Based Models
Questions concerning how one can influence an agent-based model in order to best achieve some specific goal are optimization problems. In many models, the number of possible control inputs is too large to be enumerated by computers; hence methods must be developed in order to find solutions that do not require a search of the entire solution space. Model reduction techniques are introduced and a statistical measure for model similarity is propose…
Factors Associated with E-Cigarette Use in U.S. Young Adult Never Smokers of Conventional Cigarettes
E-cigarette use is increasing among young adult never smokers of conventional cigarettes, but the awareness of the factors associated with e-cigarette use in this population is limited. The goal of this work was to use machine learning (ML) algorithms to determine the factors associated with current e-cigarette use among US young adult never cigarette smokers. Young adult (18-34 years) never cigarette smokers from the 2016 and 2017 Behavioral Ris…
E-Cigarette Use in Young Adult Never Cigarette Smokers with Disabilities
Young adult never cigarette smokers with disabilities may be at particular risk for adopting e-cigarettes, but little attention has been paid to these people. This study examines the associations between different types of disability and e-cigarette use in this population. Young adult never-smokers from the 2016-2017 Behavioral Risk Factor Surveillance System (BRFSS) survey who were either never or current e-cigarette users ( n = 79,177) were sel…
Cigarette smoking (2 obras) · Environmental health (2 obras) · Internal Medicine (2 obras) · Medicine (2 obras) · Obesity, Physical Activity, Diet (2 obras) · Smoking Behavior and Cessation (2 obras) · Young adult (2 obras) · Air Quality and Health Impacts (1 obras) · Algorithm (1 obras) · Artificial Intelligence (1 obras)