AIMC Topic: Smoking

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Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT.

The Lancet. Digital health Apr 21, 2020
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is underdiagnosed in the community. Thoracic CT scans are widely used for diagnostic and screening purposes for lung cancer. In this proof-of-concept study, we aimed to evaluate a software pipe...
Pulmonary Disease, Chronic Obstructive Male Middle Aged Risk Assessment Disease Progression Lung Artificial Intelligence Data Analysis Tomography, X-Ray Computed Female Aged Mass Screening Area Under Curve Models, Biological Smoking Smokers Ex-Smokers Cohort Studies ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Canada Humans Neural Networks, Computer
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Towards a Smart Smoking Cessation App: A 1D-CNN Model Predicting Smoking Events.

Sensors (Basel, Switzerland) Feb 17, 2020
Nicotine consumption is considered a major health problem, where many of those who wish to quit smoking relapse. The problem is that overtime smoking as behaviour is changing into a habit, in which it is connected to internal (e.g., nicotine level, c...
Humans Machine Learning Male Mobile Applications Smoking Smokers Smoking Cessation
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Biomimetic smoking robot for in vitro inhalation exposure compatible with microfluidic organ chips.

Nature protocols Jan 10, 2020
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 ...
Lab-On-A-Chip Devices Inhalation Cell Line Humans Robotics Environmental Exposure Biomimetics Smoking
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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 Dec 3, 2019
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...
Male Primary Health Care Mobile Applications Multicenter Studies as Topic Telemedicine Smoking Humans Artificial Intelligence Software Female Adult Spain Smoking Cessation Cell Phone Pragmatic Clinical Trials as Topic
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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 Oct 15, 2019
BACKGROUND: We determined the impact of data volume and diversity and training conditions on recurrent neural network methods compared with traditional machine learning methods.
Early Diagnosis Smoking Alcohol Drinking California Vital Signs Time Factors Primary Health Care Longitudinal Studies Predictive Value of Tests Heart Failure Humans Neural Networks, Computer Machine Learning Electronic Health Records Female Reproducibility of Results Risk Factors Male Diagnosis, Computer-Assisted Incidence
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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 Aug 3, 2019
BACKGROUND: We aimed to demonstrate that supervised machine learning (ML) models can better predict postoperative complications after total shoulder arthroplasty (TSA) than comorbidity indices.
Arthroplasty, Replacement, Shoulder Hematocrit Patient Readmission Smoking Reoperation Serum Albumin Age Factors Blood Transfusion Operative Time Predictive Value of Tests Supervised Machine Learning Forecasting Databases, Factual Female Aged Male Middle Aged Postoperative Complications Comorbidity Length of Stay ROC Curve Body Mass Index Humans
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Fast and accurate reconstruction of human lung gas MRI with deep learning.

Magnetic resonance in medicine Jul 19, 2019
PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space using deep learning.
Imaging, Three-Dimensional Image Processing, Computer-Assisted Inflammation Magnetic Resonance Imaging Solitary Pulmonary Nodule Asthma Humans Male Algorithms Middle Aged Prospective Studies Female Lung Bronchiectasis Retrospective Studies Tuberculosis, Pulmonary Reproducibility of Results Deep Learning Fourier Analysis Aged Protons Healthy Volunteers Young Adult Xenon Isotopes Smoking Adult Respiration Pulmonary Disease, Chronic Obstructive Signal-To-Noise Ratio
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Cervical Cancer Identification with Synthetic Minority Oversampling Technique and PCA Analysis using Random Forest Classifier.

Journal of medical systems Jul 17, 2019
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...
Smoking Hormonal Contraception Support Vector Machine Sexually Transmitted Diseases Age Factors Principal Component Analysis Sexual Behavior Algorithms Humans Female Risk Factors Machine Learning Sensitivity and Specificity Uterine Cervical Neoplasms
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Machine Learning Models can Detect Aneurysm Rupture and Identify Clinical Features Associated with Rupture.

World neurosurgery Jul 9, 2019
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.
Humans Machine Learning Retrospective Studies Female Aged Adult Sensitivity and Specificity Male Middle Aged Hyperlipidemias Comorbidity Smoking Case-Control Studies Aneurysm, Ruptured Hypertension Intracranial Aneurysm Diabetes Mellitus Support Vector Machine
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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 Jun 29, 2019
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...
Nitrous Oxide Spectrum Analysis Smoking Pressure Carbon Monoxide Exhalation Humans Neural Networks, Computer Algorithms Water Air Pollution, Indoor
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