AIMC Topic: Smoking

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Dietary antioxidants and 10-year lung function decline in adults from the ECRHS survey.

The European respiratory journal Dec 21, 2017
The relationship between lung function decline and dietary antioxidants over 10 years in adults from three European countries was investigated.In 2002, adults from three participating countries of the European Community Respiratory Health Survey (ECR...
Antioxidants Middle Aged Humans Diet Longitudinal Studies Lung Female Europe Health Surveys Adult Forced Expiratory Volume Lung Diseases Male Linear Models Smoking Multivariate Analysis Vital Capacity
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Construction of a 26‑feature gene support vector machine classifier for smoking and non‑smoking lung adenocarcinoma sample classification.

Molecular medicine reports Dec 7, 2017
The present study aimed to identify the feature genes associated with smoking in lung adenocarcinoma (LAC) samples and explore the underlying mechanism. Three gene expression datasets of LAC samples were downloaded from the Gene Expression Omnibus da...
Humans Gene Expression Profiling Support Vector Machine Databases, Genetic Cluster Analysis Smoking Adenocarcinoma of Lung Protein Interaction Maps Lung Neoplasms Gene Expression Regulation, Neoplastic Adenocarcinoma
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Evaluation of genotoxic effects in Brazilian agricultural workers exposed to pesticides and cigarette smoke using machine-learning algorithms.

Environmental science and pollution research international Oct 30, 2017
Monitoring exposure to xenobiotics by biomarker analyses, such as a micronucleus assay, is extremely important for the precocious detection and prevention of diseases, such as oral cancer. The aim of this study was to evaluate genotoxic effects in ru...
Smoking Mutagens Farmers Brazil Occupational Exposure DNA Damage Pesticides Humans Machine Learning Female Young Adult Adult Male
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Cardiovascular events in patients with mild autonomous cortisol secretion: analysis with artificial neural networks.

European journal of endocrinology May 3, 2017
BACKGROUND: The independent role of mild autonomous cortisol secretion (ACS) in influencing the cardiovascular event (CVE) occurrence is a topic of interest. We investigated the role of mild ACS in the CVE occurrence in patients with adrenal incident...
Female Aged Adult Male Cardiovascular Diseases Humans Neural Networks, Computer Retrospective Studies Dexamethasone Dyslipidemias Smoking Age Factors Obesity Adrenal Gland Neoplasms Hydrocortisone Middle Aged Prevalence Diabetes Mellitus, Type 2 Hypertension
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Quantitative analysis of menthol in human urine using solid phase microextraction and stable isotope dilution gas chromatography-mass spectrometry.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Dec 13, 2016
To accurately measure menthol levels in human urine, we developed a method using gas chromatography/electron ionization mass spectrometry with menthol-d stable isotope internal standardization. We used solid phase microextraction (SPME) headspace sam...
Gas Chromatography-Mass Spectrometry Linear Models Smoking Solid Phase Microextraction Menthol Humans Reproducibility of Results Limit of Detection
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Efficacy according to blind independent central review: Post-hoc analyses from the phase III, randomized, multicenter, IPASS study of first-line gefitinib versus carboplatin/paclitaxel in Asian patients with EGFR mutation-positive advanced NSCLC.

Lung cancer (Amsterdam, Netherlands) Nov 30, 2016
OBJECTIVE: The Phase III, randomized, open-label IPASS study (NCT00322452) of first-line epidermal growth factor receptor tyrosine kinase inhibitor (EGFR TKI) gefitinib versus carboplatin/paclitaxel for Asian patients with advanced non-small-cell lun...
Quinazolines Male Middle Aged Smoking Antineoplastic Agents ErbB Receptors Mutation Adenocarcinoma Lung Neoplasms Protein Kinase Inhibitors Asian People Gefitinib Carcinoma, Non-Small-Cell Lung Antineoplastic Combined Chemotherapy Protocols Carboplatin Randomized Controlled Trials as Topic Humans Paclitaxel Neoplasm Staging Female Disease-Free Survival Aged Aged, 80 and over
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High-throughput and sensitive analysis of urinary heterocyclic aromatic amines using isotope-dilution liquid chromatography-tandem mass spectrometry and robotic sample preparation system.

Analytical and bioanalytical chemistry Sep 29, 2016
Heterocyclic aromatic amines (HCAA) are listed by the US Food and Drug Administration (FDA) as harmful or potentially harmful constituents of tobacco smoke. However, quantifying HCAA exposure is challenging. In this study, we developed a sensitive, p...
Tandem Mass Spectrometry High-Throughput Screening Assays Smoking Heterocyclic Compounds Amines Chromatography, Liquid Robotics Limit of Detection Equipment Design Indicator Dilution Techniques Humans
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Classifying smoking urges via machine learning.

Computer methods and programs in biomedicine Sep 23, 2016
BACKGROUND AND OBJECTIVE: Smoking is the largest preventable cause of death and diseases in the developed world, and advances in modern electronics and machine learning can help us deliver real-time intervention to smokers in novel ways. In this pape...
Humans Machine Learning Algorithms Models, Theoretical Bayes Theorem Smoking
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Motivating smokers to quit using computer-generated letters that target either reduction or cessation: A population-based randomized controlled trial among smokers who do not intend to quit.

Drug and alcohol dependence Jul 15, 2016
BACKGROUND: This study examined the long-term efficacy of individualized counseling letters that targeted either smoking abstinence or reducing the number of cigarettes smoked per day to promote future cessation.
Motivation Expert Systems Smoking Therapy, Computer-Assisted Smoking Cessation Counseling Pattern Recognition, Visual Behavior Therapy Models, Theoretical Humans Treatment Outcome Female Follow-Up Studies Adult Intention Self Care Male Middle Aged
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The effect of preprocessing pipelines in subject classification and detection of abnormal resting state functional network connectivity using group ICA.

NeuroImage Mar 23, 2016
Resting state functional network connectivity (rsFNC) derived from functional magnetic resonance (fMRI) imaging is emerging as a possible biomarker to identify several brain disorders. Recently it has been pointed out that methods used to preprocess ...
Middle Aged Adolescent Support Vector Machine Magnetic Resonance Imaging Smoking Connectome Brain Concussion Humans Female Aged Brain Young Adult Adult Male
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