AIMC Topic: Smokers

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Novel biomarker genes which distinguish between smokers and chronic obstructive pulmonary disease patients with machine learning approach.

BMC pulmonary medicine Feb 3, 2020
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is combination of progressive lung diseases. The diagnosis of COPD is generally based on the pulmonary function testing, however, difficulties underlie in prognosis of smokers or early stage of...
Middle Aged Lung Gene Expression Profiling Case-Control Studies Female Adult Pulmonary Disease, Chronic Obstructive Male Smokers Logistic Models Epithelial Cells Cigarette Smoking Gene Expression Regulation Humans Machine Learning Biomarkers
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Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use.

Drug and alcohol dependence Oct 25, 2019
BACKGROUND: Nonadherence to smoking cessation medication is a frequent problem. Identifying pre-quit predictors of nonadherence may help explain nonadherence and suggest tailored interventions to address it.
Counseling Needs Assessment Behavior Therapy Tobacco Smoking Tobacco Use Cessation Devices Motivation Smokers Tobacco Use Disorder Smoking Cessation Male Middle Aged Medication Adherence Nicotine Machine Learning Female Young Adult Adult Humans
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Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers.

Scientific reports Jan 15, 2019
There is an association between smoking and cancer, cardiovascular disease and all-cause mortality. However, currently, there are no affordable and informative tests for assessing the effects of smoking on the rate of biological aging. In this study ...
Blood Chemical Analysis Blood Cell Count Smoking Smokers Aging, Premature Age Factors Supervised Machine Learning Sex Factors Humans Artificial Intelligence Risk Factors Middle Aged Deep Learning
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Comparison of TSNAs concentration in saliva according to type of tobacco smoked.

Environmental research Dec 6, 2018
OBJECTIVE: To compare tobacco-specific nitrosamines (TSNAs) measured in saliva according to different types of tobacco smoked in a sample of smokers of the city of Barcelona (Spain).
Tobacco Products Nitrosamines Smokers Spain Humans Adult Cross-Sectional Studies Saliva
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Identification of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Pulmonary Disease (COPD) using Machine-Based Learning Algorithms.

Scientific reports Oct 25, 2018
The aim of this project was to identify candidate novel therapeutic targets to facilitate the treatment of COPD using machine-based learning (ML) algorithms and penalized regression models. In this study, 59 healthy smokers, 53 healthy non-smokers an...
Male Middle Aged Disease Progression Humans Lung Algorithms Machine Learning Gene Expression Regulation Female Smokers Case-Control Studies Adult Statistics, Nonparametric Genetic Association Studies Pulmonary Disease, Chronic Obstructive Cluster Analysis Epithelial Cells
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The Promise of Quantitative Computed Tomographic Analysis in Assessing Progression of Interstitial Lung Abnormalities and Emphysema in Smokers.

American journal of respiratory and critical care medicine Sep 15, 2023
Deep Learning Lung Diseases, Interstitial Pulmonary Emphysema Smokers Emphysema Humans Lung
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Support vector machine based classification of smokers and nonsmokers using diffusion tensor imaging.

Brain imaging and behavior Dec 1, 2020
Despite significant progress in treatments for smoking cessation, smoking continues to be a significant public health concern, especially in young adulthood. Thus, developing a predictive model that can classify and characterize the brain-based bioma...
Support Vector Machine Magnetic Resonance Imaging Smokers White Matter Brain Young Adult Adult Male Diffusion Tensor Imaging Non-Smokers Humans
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Artificial Intelligence-based Fully Automated Per Lobe Segmentation and Emphysema-quantification Based on Chest Computed Tomography Compared With Global Initiative for Chronic Obstructive Lung Disease Severity of Smokers.

Journal of thoracic imaging May 1, 2020
OBJECTIVES: The objective of this study was to evaluate an artificial intelligence (AI)-based prototype algorithm for the fully automated per lobe segmentation and emphysema quantification (EQ) on chest-computed tomography as it compares to the Globa...
Humans Artificial Intelligence Retrospective Studies Middle Aged Lung Severity of Illness Index Radiographic Image Interpretation, Computer-Assisted Pulmonary Emphysema Radiography, Thoracic Smokers Young Adult Adult Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Female Male Aged Aged, 80 and over
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Using Elastic Net Penalized Cox Proportional Hazards Regression to Identify Predictors of Imminent Smoking Lapse.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco Jan 4, 2019
INTRODUCTION: Machine learning algorithms such as elastic net regression and backward selection provide a unique and powerful approach to model building given a set of psychosocial predictors of smoking lapse measured repeatedly via ecological moment...
Humans Machine Learning Female Adult Smoking Cessation Ecological Momentary Assessment Tobacco Smoking Predictive Value of Tests Male Proportional Hazards Models Middle Aged Smokers Smartphone Recurrence Follow-Up Studies
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Overfitting and Use of Mismatched Cohorts in Deep Learning Models: Preventable Design Limitations.

American journal of respiratory and critical care medicine Aug 15, 2018
Humans Algorithms Prognosis Tomography, X-Ray Computed Deep Learning Smokers
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