AIMC Topic: Cigarette Smoking

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Estimating substance use disparities across intersectional social positions using machine learning: An application of group-lasso interaction network.

Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors Jun 27, 2024
OBJECTIVE: An aim of quantitative intersectional research is to model the joint impact of multiple social positions on health risk behaviors. Although moderated multiple regression is frequently used to pursue intersectional research hypotheses, such...
Middle Aged Prevalence Adolescent United States Marijuana Use Machine Learning Female Young Adult Adult Male Cigarette Smoking Health Status Disparities Binge Drinking Humans
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Individual Predictors of Response to A Behavioral Activation-Based Digital Smoking Cessation Intervention: A Machine Learning Approach.

Substance use & misuse Jun 19, 2024
Depression is prevalent among individuals who smoke cigarettes and increases risk for relapse. A previous clinical trial suggests that Goal2Quit, a behavioral activation-based smoking cessation mobile app, effectively increases smoking abstinence an...
Male Middle Aged Depression Mobile Applications Cigarette Smoking Treatment Outcome Humans Smoking Cessation Machine Learning Behavior Therapy Female Tobacco Use Cessation Devices Adult
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Mechanism of cytotoxicity induced by the cigarette smoke extract (CSE) of heated tobacco products in vascular smooth muscle cells: A comparative study of the cytotoxic effects of CSE and the ferroptosis inducer, erastin.

Journal of pharmacological sciences Dec 27, 2023
Heated tobacco products (HTPs) are marketed worldwide as less harmful alternatives to combustible cigarettes; however, their cytotoxic mechanisms in vascular smooth muscle cells are poorly understood. Ferroptosis is defined as iron-dependent cell dea...
Cigarette Smoking Antineoplastic Agents Muscle, Smooth, Vascular Ferroptosis Tobacco Products Iron Piperazines
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Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST).

PloS one Aug 3, 2020
BACKGROUND: The National Lung Screening Trial (NLST) demonstrated that annual screening with low dose CT in high-risk population was associated with reduction in lung cancer mortality. Nonetheless, the leading cause of mortality in the study was from...
Coronary Vessels Clinical Trials, Phase III as Topic National Cancer Institute (U.S.) Emphysema Early Detection of Cancer Liver Randomized Controlled Trials as Topic Radiographic Image Interpretation, Computer-Assisted Cigarette Smoking Risk Factors Male Cardiovascular Diseases Middle Aged Risk Assessment Lung Lung Neoplasms Fatty Liver United States Humans Mass Screening Machine Learning Retrospective Studies Tomography, X-Ray Computed Female
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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...
Humans Male Middle Aged Lung Gene Expression Profiling Case-Control Studies Machine Learning Biomarkers Female Adult Pulmonary Disease, Chronic Obstructive Smokers Logistic Models Epithelial Cells Cigarette Smoking Gene Expression Regulation
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An Individualized Prediction Model for Long-term Lung Function Trajectory and Risk of COPD in the General Population.

Chest Sep 19, 2019
BACKGROUND: Prediction of future lung function will enable the identification of individuals at high risk of developing COPD, but the trajectory of lung function decline varies greatly among individuals. This study involved the development and valida...
Humans Machine Learning Algorithms Leukocyte Count Female Vital Capacity Adult Bronchodilator Agents Pulmonary Disease, Chronic Obstructive Serum Globulins Male Cigarette Smoking Electrocardiography Body Height Aging Longitudinal Studies Middle Aged Alcohol Drinking Alkaline Phosphatase Age Factors Spirometry Risk Assessment Hematocrit Cough Triglycerides Lung Dyspnea Forced Expiratory Volume Sex Factors Serum Albumin Cohort Studies
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Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source.

BMC medical informatics and decision making Jul 25, 2019
BACKGROUND: Approximately 20% of deaths in the US each year are attributable to smoking, yet current practices in the recording of this health risk in electronic health records (EHRs) have not led to discernable changes in health outcomes. Several gr...
Cigarette Smoking Information Storage and Retrieval Medical Records Systems, Computerized Surveys and Questionnaires Lung Neoplasms Early Detection of Cancer Natural Language Processing Registries Humans Algorithms Electronic Health Records Adult
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Comparative study on the effects of cigarette smoke exposure, ethanol consumption and association: Behavioral parameters, apoptosis, glial fibrillary acid protein and S100β immunoreactivity in different regions of the rat hippocampus.

Alcohol (Fayetteville, N.Y.) Aug 23, 2018
Exposure to cigarette smoke and ethanol are proposed to trigger neurotoxicity, apoptosis, and to impair neuronal signaling. However, it is little known how the combination of both might trigger astrogliosis and the morphological changes capable of af...
S100 Calcium Binding Protein beta Subunit Rats, Wistar Tobacco Smoke Pollution Rats Animals Ethanol Male Apoptosis Glial Fibrillary Acidic Protein Cigarette Smoking Hippocampus Alcohol Drinking Gliosis Inhalation Exposure
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Natural Language Processing for Asthma Ascertainment in Different Practice Settings.

The journal of allergy and clinical immunology. In practice Jun 19, 2017
BACKGROUND: We developed and validated NLP-PAC, a natural language processing (NLP) algorithm based on predetermined asthma criteria (PAC) for asthma ascertainment using electronic health records at Mayo Clinic.
Prognosis Retrospective Studies Electronic Health Records Female Risk Factors Child, Preschool Humans Asthma Predictive Value of Tests Algorithms Sensitivity and Specificity Natural Language Processing Delivery of Health Care Male Feasibility Studies Infant Cigarette Smoking Cohort Studies
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Screening of oxidative stress components of cigarette smoke based on machine learning model integration.

Toxicology and applied pharmacology Jul 1, 2025
Cigarette smoke, a complex mixture of more than 7000 chemicals, poses a significant threat to human health, with oxidative stress being an important mechanism in its associated diseases. Traditional methods for assessing the toxicity of cigarette smo...
Oxidative Stress Reactive Oxygen Species Cigarette Smoking Tobacco Products Smoke Humans Machine Learning
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