AIMC Topic: Smoking

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Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.

Upsala journal of medical sciences Jul 22, 2020
BACKGROUND: The electronic medical record (EMR) offers unique possibilities for clinical research, but some important patient attributes are not readily available due to its unstructured properties. We applied text mining using machine learning to en...
Smoking False Positive Reactions Tobacco Use Disorder Data Mining Observer Variation Software Medical Informatics Algorithms Automation Research Design Pattern Recognition, Automated Electronic Health Records Reproducibility of Results Sweden ROC Curve Support Vector Machine Natural Language Processing Bayes Theorem Humans Machine Learning
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Deep neural network analyses of spirometry for structural phenotyping of chronic obstructive pulmonary disease.

JCI insight Jul 9, 2020
BACKGROUNDCurrently recommended traditional spirometry outputs do not reflect the relative contributions of emphysema and airway disease to airflow obstruction. We hypothesized that machine-learning algorithms can be trained on spirometry data to ide...
Humans Neural Networks, Computer Middle Aged Lung Pulmonary Emphysema Smoking Respiratory Function Tests Spirometry Female Aged Adult Pulmonary Disease, Chronic Obstructive Male
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An artificial neural network approach for predicting hypertension using NHANES data.

Scientific reports Jun 30, 2020
This paper focus on a neural network classification model to estimate the association among gender, race, BMI, age, smoking, kidney disease and diabetes in hypertensive patients. It also shows that artificial neural network techniques applied to larg...
Female Risk Factors Adult Sensitivity and Specificity Male Humans Neural Networks, Computer Algorithms Models, Statistical Middle Aged Sex Factors Nutrition Surveys Smoking Hypertension Body Mass Index Age Factors
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Identification of feature risk pathways of smoking-induced lung cancer based on SVM.

PloS one Jun 4, 2020
OBJECTIVE: The present study aims to explore the role of smoking factors in the risk of lung cancer and screen the feature risk pathways of smoking-induced lung cancer.
Humans DNA, Neoplasm Databases, Genetic Gene Ontology Risk Factors Protein Interaction Mapping Cluster Analysis Area Under Curve Gene Expression Profiling High-Throughput Nucleotide Sequencing ROC Curve Smoking Lung Neoplasms Signal Transduction Support Vector Machine
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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...
Canada Mass Screening Area Under Curve Models, Biological Smoking Lung Cohort Studies ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Smokers Ex-Smokers Artificial Intelligence Data Analysis Tomography, X-Ray Computed Female Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Risk Assessment Disease Progression 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...
Smoking Smokers Smoking Cessation Humans Machine Learning Male Mobile Applications
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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 ...
Inhalation Humans Cell Line Robotics Environmental Exposure Biomimetics Smoking Lab-On-A-Chip Devices
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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...
Mobile Applications Multicenter Studies as Topic Telemedicine Smoking Spain Smoking Cessation Cell Phone Pragmatic Clinical Trials as Topic Software Female Adult Male Primary Health Care Humans Artificial Intelligence
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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.
Machine Learning Electronic Health Records Female Reproducibility of Results Risk Factors Humans Neural Networks, Computer Longitudinal Studies Alcohol Drinking Male Predictive Value of Tests California Diagnosis, Computer-Assisted Heart Failure Vital Signs Incidence Early Diagnosis Smoking Time Factors Primary Health Care
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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.
ROC Curve Male Predictive Value of Tests Reoperation Humans Middle Aged Body Mass Index Supervised Machine Learning Serum Albumin Forecasting Postoperative Complications Age Factors Hematocrit Arthroplasty, Replacement, Shoulder Databases, Factual Comorbidity Blood Transfusion Patient Readmission Female Length of Stay Operative Time Smoking Aged
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