AIMC Topic: Smoking

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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.
Female Reproducibility of Results Risk Factors Male Diagnosis, Computer-Assisted Humans Neural Networks, Computer Machine Learning Electronic Health Records Heart Failure Early Diagnosis Smoking Alcohol Drinking California Vital Signs Incidence Time Factors Primary Health Care Longitudinal Studies Predictive Value of Tests
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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.
Humans Arthroplasty, Replacement, Shoulder Body Mass Index Age Factors Middle Aged Blood Transfusion Forecasting Postoperative Complications Operative Time Smoking Databases, Factual Predictive Value of Tests Reoperation Female Serum Albumin Aged Comorbidity Supervised Machine Learning Male Length of Stay Hematocrit ROC Curve Patient Readmission
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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.
Fourier Analysis Protons Xenon Isotopes Healthy Volunteers Smoking Respiration Signal-To-Noise Ratio Bronchiectasis Asthma Male Middle Aged Lung Deep Learning Magnetic Resonance Imaging Reproducibility of Results Humans Solitary Pulmonary Nodule Imaging, Three-Dimensional Aged Tuberculosis, Pulmonary Algorithms Image Processing, Computer-Assisted Young Adult Prospective Studies Inflammation Adult Retrospective Studies Pulmonary Disease, Chronic Obstructive Female
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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 Algorithms Female Risk Factors Sensitivity and Specificity Uterine Cervical Neoplasms Support Vector Machine Sexually Transmitted Diseases Humans Age Factors Machine Learning Principal Component Analysis Sexual Behavior
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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.
Female Aged Adult Sensitivity and Specificity Male Humans Machine Learning Retrospective Studies Support Vector Machine Hyperlipidemias Smoking Aneurysm, Ruptured Intracranial Aneurysm Middle Aged Comorbidity Case-Control Studies Hypertension Diabetes Mellitus
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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...
Humans Neural Networks, Computer Algorithms Water Air Pollution, Indoor Carbon Monoxide Exhalation Nitrous Oxide Spectrum Analysis Smoking Pressure
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Detection of smoking status from retinal images; a Convolutional Neural Network study.

Scientific reports May 9, 2019
Cardiovascular diseases are directly linked to smoking habits, which has both physiological and anatomical effects on the systemic and retinal circulations, and these changes can be detected with fundus photographs. Here, we aimed to 1- design a Conv...
Middle Aged ROC Curve Area Under Curve Retina Smoking Databases, Factual Female Aged Adult Male Humans Diabetic Retinopathy Neural Networks, Computer
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Application of Machine Learning to Identify Clustering of Cardiometabolic Risk Factors in U.S. Adults.

Diabetes technology & therapeutics Apr 10, 2019
The aim of this study is to compare some machine learning methods with traditional statistical parametric analyses using logistic regression to investigate the relationship of risk factors for diabetes and cardiovascular (cardiometabolic risk) for U...
Cardiovascular Diseases Middle Aged Risk Assessment Adolescent United States Aged Aged, 80 and over Young Adult Adult Male Smoking Alcohol Drinking Life Style Body Mass Index Humans Cluster Analysis Machine Learning Lipids Algorithms Waist Circumference Female Metabolic Diseases Risk Factors
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Leveraging Electronic Dental Record Data to Classify Patients Based on Their Smoking Intensity.

Methods of information in medicine Mar 15, 2019
BACKGROUND: Smoking is an established risk factor for oral diseases and, therefore, dental clinicians routinely assess and record their patients' detailed smoking status. Researchers have successfully extracted smoking history from electronic health ...
Reference Standards Humans Machine Learning Electronic Health Records Practice Guidelines as Topic Smoking
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Applications of machine learning in addiction studies: A systematic review.

Psychiatry research Mar 4, 2019
This study aims to provide a systematic review of the applications of machine learning methods in addiction research. In this study, multiple searches on MEDLINE, Embase and the Cochrane Database of Systematic Reviews were performed. 23 full-text art...
Substance-Related Disorders Cross-Over Studies Humans Smoking Machine Learning Behavior, Addictive Algorithms Gambling Cross-Sectional Studies
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