AIMC Topic: Smoking

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Driver identification and fatigue detection algorithm based on deep learning.

Mathematical biosciences and engineering : MBE Feb 27, 2023
In order to avoid traffic accidents caused by driver fatigue, smoking and talking on the phone, it is necessary to design an effective fatigue detection algorithm. Firstly, this paper studies the detection algorithms of driver fatigue at home and abr...
Algorithms Deep Learning Smoking
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A Generic Semi-Supervised and Active Learning Framework for Biomedical Text Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Biomedical text classification requires having training examples labeled by clinical specialists, a process that can be costly. To address this problem, active learning incrementally selects a subset of the most informative unlabeled examples, sample...
Humans Problem-Based Learning Algorithms Obesity Supervised Machine Learning Smoking
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Verification and comparison of three prediction models of ischemic stroke in young adults based on the back propagation neural networks.

Medicine Mar 19, 2021
This work aims to explore risk factors for ischemic stroke in young adults and analyze the Traditional Vascular Risk Factors Model based on age, hypertension, diabetes, smoking history, and drinking history. Further, the Lipid Metabolism Model was an...
Humans Neural Networks, Computer Acute Kidney Injury Female Smoking Alcohol Drinking Clinical Decision Rules ROC Curve Ischemic Stroke Diabetes Mellitus, Type 2 Male Risk Factors Factor Analysis, Statistical Kidney Function Tests Hypertension Middle Aged Young Adult Age Factors Area Under Curve Risk Assessment Adult Lipoproteins Adolescent Predictive Value of Tests
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A Machine-Learning Approach to Predicting Smoking Cessation Treatment Outcomes.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco Mar 16, 2020
AIMS: Most cigarette smokers want to quit smoking and more than half make an attempt every year, but less than 10% remain abstinent for at least 6 months. Evidence-based tobacco use treatment improves the likelihood of quitting, but more than two-thi...
Middle Aged Treatment Outcome Cotinine Health Behavior Machine Learning Female Male Smoking Carbon Monoxide Smoking Cessation Cognitive Behavioral Therapy Humans
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Machine Learning Approach for Predicting Past Environmental Exposures From Molecular Profiling of Post-Exposure Human Serum Samples.

Journal of occupational and environmental medicine Dec 1, 2019
OBJECTIVE: To develop an approach for a retrospective analysis of post-exposure serum samples using diverse molecular profiles.
Mice, Inbred C57BL Cotinine Environmental Exposure Sex Factors Smoking Tobacco Smoke Pollution Adolescent Support Vector Machine Age Factors Humans Adult Disease Models, Animal Machine Learning Animals Male Biomarkers Female Young Adult
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A Comparison of SVM and CNN-LSTM Based Approach for Detecting Smoke Inhalations from Respiratory signal.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Wearable sensors have successfully been used in recent studies to monitor cigarette smoking events and analyze people's smoking behavior. Respiratory inductive plethysmography (RIP) has been employed to track breathing and to identify characteristic ...
Smoking Machine Learning Plethysmography Humans Algorithms Smoke Neural Networks, Computer Wearable Electronic Devices Support Vector Machine
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Relationship of the low-density lipoprotein (LDL)/high-density lipoprotein (HDL) index with antioxidant enzymes and with the oxLDL/HDL index.

Gaceta medica de Mexico Jan 1, 2019
INTRODUCTION: The low-density lipoprotein (LDL)/high-density lipoprotein (HDL) index is a predictive factor for atherosclerosis, which is associated with oxidative modifications.
Superoxide Dismutase Lipoproteins, HDL Cross-Sectional Studies Age Factors Nails Lipoproteins, LDL Humans Male Obesity Smoking Magnesium Female Oxidative Stress Sex Factors Adult Insulin Resistance Glutathione Peroxidase
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Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography.

American journal of respiratory and critical care medicine Jan 15, 2018
RATIONALE: Deep learning is a powerful tool that may allow for improved outcome prediction.
Humans Risk Assessment Databases, Factual Survival Rate Severity of Illness Index Respiratory Function Tests Prognosis Tomography, X-Ray Computed Logistic Models Pulmonary Disease, Chronic Obstructive Deep Learning Female Respiratory Distress Syndrome Male Aged Predictive Value of Tests Middle Aged Smoking
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Identifying Patients' Smoking Status from Electronic Dental Records Data.

Studies in health technology and informatics Jan 1, 2017
Smoking is a significant risk factor for initiation and progression of oral diseases. A patient's current smoking status and tobacco dependency can aid clinical decision making and treatment planning. The free-text nature of this data limits accessib...
Humans Dental Records Electronic Health Records Data Mining Smoking Tobacco Use Disorder Risk Factors Natural Language Processing
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