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Smoking

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An adaptive Kalman filtering algorithm based on back-propagation (BP) neural network applied for simultaneously detection of exhaled CO and NO.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy 31288168
A compact high-resolution spectroscopic sensor using a thermoelectrically (TE) cooled continuous-wave (CW) room temperature (RT) quantum cascade laser (QCL) was demonstrated for simultaneous measurements of exhaled carbon monoxide (CO) and nitrous ox...
Air Pollution, Indoor Algorithms Carbon Monoxide Exhalation Humans Neural Networks, Computer Nitrous Oxide Pressure Smoking Spectrum Analysis Water
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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 31946581
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 ...
Algorithms Humans Machine Learning Neural Networks, Computer Plethysmography Smoke Smoking Support Vector Machine Wearable Electronic Devices
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Fast and accurate reconstruction of human lung gas MRI with deep learning.

Magnetic resonance in medicine 31322298
PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space using deep learning.
Adult Aged Algorithms Asthma Bronchiectasis Deep Learning Female Fourier Analysis Healthy Volunteers Humans Image Processing, Computer-Assisted Imaging, Three-Dimensional Inflammation Lung Magnetic Resonance Imaging Male Middle Aged Prospective Studies Protons Pulmonary Disease, Chronic Obstructive Reproducibility of Results Respiration Retrospective Studies Signal-To-Noise Ratio Smoking Solitary Pulmonary Nodule Tuberculosis, Pulmonary Xenon Isotopes Young Adult
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Cervical Cancer Identification with Synthetic Minority Oversampling Technique and PCA Analysis using Random Forest Classifier.

Journal of medical systems 31312985
Cervical cancer is the fourth most communal malignant disease amongst women worldwide. In maximum circumstances, cervical cancer indications are not perceptible at its initial stages. There are a proportion of features that intensify the threat of em...
Age Factors Algorithms Female Hormonal Contraception Humans Machine Learning Principal Component Analysis Risk Factors Sensitivity and Specificity Sexual Behavior Sexually Transmitted Diseases Smoking Support Vector Machine Uterine Cervical Neoplasms
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Machine Learning Models can Detect Aneurysm Rupture and Identify Clinical Features Associated with Rupture.

World neurosurgery 31295616
BACKGROUND: Machine learning (ML) has been increasingly used in medicine and neurosurgery. We sought to determine whether ML models can distinguish ruptured from unruptured aneurysms and identify features associated with rupture.
Adult Aged Aneurysm, Ruptured Case-Control Studies Comorbidity Diabetes Mellitus Female Humans Hyperlipidemias Hypertension Intracranial Aneurysm Machine Learning Male Middle Aged Retrospective Studies Sensitivity and Specificity Smoking Support Vector Machine
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Construct validation of machine learning in the prediction of short-term postoperative complications following total shoulder arthroplasty.

Journal of shoulder and elbow surgery 31383411
BACKGROUND: We aimed to demonstrate that supervised machine learning (ML) models can better predict postoperative complications after total shoulder arthroplasty (TSA) than comorbidity indices.
Age Factors Aged Arthroplasty, Replacement, Shoulder Blood Transfusion Body Mass Index Comorbidity Databases, Factual Female Forecasting Hematocrit Humans Length of Stay Male Middle Aged Operative Time Patient Readmission Postoperative Complications Predictive Value of Tests Reoperation ROC Curve Serum Albumin Smoking Supervised Machine Learning
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Recurrent Neural Networks for Early Detection of Heart Failure From Longitudinal Electronic Health Record Data: Implications for Temporal Modeling With Respect to Time Before Diagnosis, Data Density, Data Quantity, and Data Type.

Circulation. Cardiovascular quality and outcomes 31610714
BACKGROUND: We determined the impact of data volume and diversity and training conditions on recurrent neural network methods compared with traditional machine learning methods.
Alcohol Drinking California Diagnosis, Computer-Assisted Early Diagnosis Electronic Health Records Female Heart Failure Humans Incidence Longitudinal Studies Machine Learning Male Neural Networks, Computer Predictive Value of Tests Primary Health Care Reproducibility of Results Risk Factors Smoking Time Factors Vital Signs
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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 31800451
OBJECTIVE: To develop an approach for a retrospective analysis of post-exposure serum samples using diverse molecular profiles.
Adolescent Adult Age Factors Animals Biomarkers Cotinine Disease Models, Animal Environmental Exposure Female Humans Machine Learning Male Mice, Inbred C57BL Sex Factors Smoking Support Vector Machine Tobacco Smoke Pollution Young Adult
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Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@).

BMC medical informatics and decision making 31796061
BACKGROUND: The wide scale and severity of consequences of tobacco use, benefits derived from cessation, low rates of intervention by healthcare professionals, and new opportunities stemming from novel communications technologies are the main factors...
Adult Artificial Intelligence Cell Phone Female Humans Male Mobile Applications Multicenter Studies as Topic Pragmatic Clinical Trials as Topic Primary Health Care Smoking Smoking Cessation Software Spain Telemedicine
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Biomimetic smoking robot for in vitro inhalation exposure compatible with microfluidic organ chips.

Nature protocols 31925401
Exposure of lung tissues to cigarette smoke is a major cause of human disease and death worldwide. Unfortunately, adequate model systems that can reliably recapitulate disease biogenesis in vitro, including exposure of the human lung airway to fresh ...
Biomimetics Cell Line Environmental Exposure Humans Inhalation Lab-On-A-Chip Devices Robotics Smoking
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