AIMC Topic: Smoking

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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...
Humans Machine Learning Female DNA Damage Pesticides Smoking Mutagens Farmers Young Adult Adult Male Brazil Occupational Exposure
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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...
Dyslipidemias Smoking Obesity Adrenal Gland Neoplasms Hydrocortisone Dexamethasone Aged Adult Male Cardiovascular Diseases Middle Aged Prevalence Diabetes Mellitus, Type 2 Hypertension Age Factors Humans Neural Networks, Computer Retrospective Studies Female
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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...
Humans Reproducibility of Results Limit of Detection Gas Chromatography-Mass Spectrometry Linear Models Smoking Solid Phase Microextraction Menthol
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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 Adenocarcinoma Smoking Male Humans Carcinoma, Non-Small-Cell Lung Mutation ErbB Receptors Middle Aged Female Asian People Randomized Controlled Trials as Topic Protein Kinase Inhibitors Antineoplastic Agents Carboplatin Gefitinib Aged Neoplasm Staging Lung Neoplasms Paclitaxel Aged, 80 and over Disease-Free Survival Antineoplastic Combined Chemotherapy Protocols
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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...
Chromatography, Liquid Robotics Limit of Detection Equipment Design Tandem Mass Spectrometry Humans Indicator Dilution Techniques High-Throughput Screening Assays Smoking Heterocyclic Compounds Amines
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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...
Smoking Humans Machine Learning Algorithms Models, Theoretical Bayes Theorem
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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.
Intention Motivation Expert Systems Smoking Therapy, Computer-Assisted Middle Aged Humans Models, Theoretical Smoking Cessation Female Treatment Outcome Counseling Adult Follow-Up Studies Pattern Recognition, Visual Self Care Behavior Therapy Male
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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 ...
Magnetic Resonance Imaging Smoking Connectome Brain Concussion Adult Humans Male Middle Aged Brain Adolescent Female Support Vector Machine Aged Young Adult
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Bayesian network modeling: A case study of an epidemiologic system analysis of cardiovascular risk.

Computer methods and programs in biomedicine Dec 30, 2015
An extensive, in-depth study of cardiovascular risk factors (CVRF) seems to be of crucial importance in the research of cardiovascular disease (CVD) in order to prevent (or reduce) the chance of developing or dying from CVD. The main focus of data an...
Cardiovascular Diseases Middle Aged Body Mass Index Models, Statistical Bayes Theorem Body Weight Smoking Cardiovascular System Models, Cardiovascular Algorithms Female Risk Factors Adult Male Humans Artificial Intelligence
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Family income per capita, age, and smoking status are predictors of low fiber intake in residents of São Paulo, Brazil.

Nutrition research (New York, N.Y.) Dec 23, 2015
We hypothesized that dietary total fiber intake may be less than recommendations and that the intake of total, soluble, and insoluble fiber may be associated with demographic, lifestyle, and socioeconomic factors. Data were drawn from the Health Surv...
Diet Brazil Adolescent Socioeconomic Factors Body Mass Index Age Factors Dietary Fiber Sex Factors Income Aged, 80 and over Adult Cross-Sectional Studies Male Middle Aged Humans Female Aged Smoking Life Style
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