AIMC Topic: Smoking

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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 ...
Humans Artificial Intelligence Risk Factors Middle Aged Sex Factors Blood Chemical Analysis Blood Cell Count Smoking Smokers Deep Learning Aging, Premature Age Factors Supervised Machine Learning
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Performance of machine-learning algorithms to pattern recognition and classification of hearing impairment in Brazilian farmers exposed to pesticide and/or cigarette smoke.

Environmental science and pollution research international Jan 8, 2019
The use of pesticides has been increasing in agriculture, leading to a public health problem. The aim of this study was to evaluate ototoxic effects in farmers who were exposed to cigarette smoke and/or pesticides and to identify possible classificat...
Smoking Tobacco Smoke Pollution Farmers Hearing Loss Nicotiana Adolescent Occupational Exposure Support Vector Machine Pesticides Humans Machine Learning Air Pollutants, Occupational Algorithms Female Aged Young Adult Adult Male Brazil
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A clinical text classification paradigm using weak supervision and deep representation.

BMC medical informatics and decision making Jan 7, 2019
BACKGROUND: Automatic clinical text classification is a natural language processing (NLP) technology that unlocks information embedded in clinical narratives. Machine learning approaches have been shown to be effective for clinical text classificatio...
Electronic Health Records Natural Language Processing Hip Fractures Datasets as Topic Smoking Humans Neural Networks, Computer Machine Learning Algorithms
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Multiple Human-Behaviour Indicators for Predicting Lung Cancer Mortality with Support Vector Machine.

Scientific reports Nov 9, 2018
Lung cancer is still one of the most common causes of death around the world, while there is overwhelming evidence that the environment and lifestyle factors are predominant causes of most sporadic cancers. However, when applying human-behaviour indi...
Risk Factors Aged Aged, 80 and over Male Lung Neoplasms Humans Neural Networks, Computer Databases, Factual Female Feeding Behavior Socioeconomic Factors Support Vector Machine Environmental Exposure Smoking Alcohol Drinking
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Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning Algorithms.

Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) Sep 5, 2018
BACKGROUND: Studies have used questionnaires of dysphonic symptoms to screen voice disorders. This study investigated whether the differential presentation of demographic and symptomatic features can be applied to computerized classification.
Smoking Alcohol Drinking Symptom Assessment Wounds and Injuries Demography Vocal Cord Paralysis Voice Disorders Laryngeal Neoplasms Voice Quality Middle Aged Humans Severity of Illness Index Neural Networks, Computer Age Factors Female Algorithms Supervised Machine Learning Glottis Aged Retrospective Studies Sex Factors Adult Male
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Association of Reduced Nicotine Content Cigarettes With Smoking Behaviors and Biomarkers of Exposure Among Slow and Fast Nicotine Metabolizers: A Nonrandomized Clinical Trial.

JAMA network open Aug 24, 2018
IMPORTANCE: The US Food and Drug Administration (FDA) has announced its intention to reduce the nicotine content in combustible cigarettes but must base regulation on public health benefits. Fast nicotine metabolizers may be at risk for increased smo...
Creatinine Smoking Humans Tobacco Products Young Adult Biomarkers Academic Medical Centers Carbon Monoxide Adult Female Linear Models Nicotinic Agonists Male Aged Philadelphia Middle Aged Tobacco Use Disorder Nicotine
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Comparison of logistic regression with machine learning methods for the prediction of fetal growth abnormalities: a retrospective cohort study.

BMC pregnancy and childbirth Aug 15, 2018
BACKGROUND: While there is increasing interest in identifying pregnancies at risk for adverse outcome, existing prediction models have not adequately assessed population-based risks, and have been based on conventional regression methods. The objecti...
Body Mass Index Smoking Pregnancy Trimester, Second Statistics as Topic Fetal Development Infant, Small for Gestational Age Fetal Macrosomia Infant, Newborn Gestational Weight Gain Young Adult Nova Scotia Adult Humans Cohort Studies Neural Networks, Computer Logistic Models Machine Learning Retrospective Studies Pregnancy Female
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Survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers.

PloS one May 10, 2018
A prior project found that an intensive (12 weeks, thrice weekly sessions) in-person, supervised, exercise coaching intervention was effective for smoking cessation among depressed women smokers. However, the sample was 90% White and of high socioeco...
Depression Humans Adolescent Female Robotics Adult Exercise Therapy Smoking
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How Confounder Strength Can Affect Allocation of Resources in Electronic Health Records.

Perspectives in health information management Jan 1, 2018
When electronic health record (EHR) data are used, multiple approaches may be available for measuring the same variable, introducing potentially confounding factors. While additional information may be gleaned and residual confounding reduced through...
Humans Algorithms Electronic Health Records Natural Language Processing Patient Readmission Data Accuracy Smoking Confounding Factors, Epidemiologic
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Differences between Dual Users and Switchers Center around Vaping Behavior and Its Experiences Rather than Beliefs and Attitudes.

International journal of environmental research and public health Dec 23, 2017
(1) Background: Many smokers completely switch to vaping (switchers), whereas others use e-cigarettes (e-cigs) alongside tobacco cigarettes (dual users). To the extent that dual users substantially lower the number of cigarettes, they will reduce hea...
Middle Aged Surveys and Questionnaires Nicotine Humans Tobacco Smoke Pollution Smoking Cessation Tobacco Products Vaping Female Smoking Attitude Adult Electronic Nicotine Delivery Systems Male
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