Related references
Note: Only part of the references are listed.Role of flavours in vaping uptake and cessation among New Zealand smokers and non-smokers: a cross-sectional study
Philip Gendall et al.
TOBACCO CONTROL (2021)
At the speed of Juul: measuring the Twitter conversation related to ENDS and Juul across space and time (2017-2018)
Yoonsang Kim et al.
TOBACCO CONTROL (2021)
Machine learning for predicting long-term kidney allograft survival: a scoping review
Nigar Sekercioglu et al.
IRISH JOURNAL OF MEDICAL SCIENCE (2021)
Characterising JUUL-related posts on Instagram
Lauren Czaplicki et al.
TOBACCO CONTROL (2020)
Big tobacco focuses on the facts to hide the truth: an algorithmic exploration of courtroom tropes and taboos
Stephan Risi et al.
TOBACCO CONTROL (2020)
A Machine-Learning Approach to Predicting Smoking Cessation Treatment Outcomes
Lara N. Coughlin et al.
NICOTINE & TOBACCO RESEARCH (2020)
Health Effects Associated With Electronic Cigarette Use: Automated Mining of Online Forums
My Hua et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2020)
Towards a Smart Smoking Cessation App: A 1D-CNN Model Predicting Smoking Events
Maryam Abo-Tabik et al.
SENSORS (2020)
Correlates of tobacco product reuptake and relapse among youth and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016)
Kathryn C. Edwards et al.
TOBACCO CONTROL (2020)
Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study
Shyam Visweswaran et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2020)
Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records
Andrea Caccamisi et al.
UPSALA JOURNAL OF MEDICAL SCIENCES (2020)
Characterizing vaping posts on Instagram by using unsupervised machine learning
Vili Ketonen et al.
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2020)
Valence of Media Coverage About Electronic Cigarettes and Other Tobacco Products From 2014 to 2017: Evidence From Automated Content Analysis
Kwanho Kim et al.
NICOTINE & TOBACCO RESEARCH (2020)
Predicting population health with machine learning: a scoping review
Jason Denzil Morgenstern et al.
BMJ OPEN (2020)
Investigating the Attitudes of Adolescents and Young Adults Towards JUUL: Computational Study Using Twitter Data
Ryzen Benson et al.
JMIR PUBLIC HEALTH AND SURVEILLANCE (2020)
A New Approach for Smoking Event Detection Using a Variational Autoencoder and Neural Decision Forest
Changjun Fan et al.
IEEE ACCESS (2020)
Innovative Identification of Substance Use Predictors: Machine Learning in a National Sample of Mexican Children
Alejandro L. Vazquez et al.
PREVENTION SCIENCE (2020)
A CNN-LSTM neural network for recognition of puffing in smoking episodes using wearable sensors
Volkan Y. Senyurek et al.
BIOMEDICAL ENGINEERING LETTERS (2020)
Clinical Text Data in Machine Learning: Systematic Review
Irena Spasic et al.
JMIR MEDICAL INFORMATICS (2020)
Using Elastic Net Penalized Cox Proportional Hazards Regression to Identify Predictors of Imminent Smoking Lapse
Robert Suchting et al.
NICOTINE & TOBACCO RESEARCH (2019)
StopWatch: The Preliminary Evaluation of a Smartwatch-Based System for Passive Detection of Cigarette Smoking
Andrew L. Skinner et al.
NICOTINE & TOBACCO RESEARCH (2019)
Cigarette Smoking Detection with an Inertial Sensor and a Smart Lighter
Volkan Senyurek et al.
SENSORS (2019)
Applications of machine learning in addiction studies: A systematic review
Kwok Kei Mak et al.
PSYCHIATRY RESEARCH (2019)
Building a tobacco user registry by extracting multiple smoking behaviors from clinical notes
Ellen L. Palmer et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2019)
Identifying Key Target Audiences for Public Health Campaigns: Leveraging Machine Learning in the Case of Hookah Tobacco Smoking
Kar-Hai Chu et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2019)
Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking status
Jenna M. Reps et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2019)
A Combination of Factors Related to Smoking Behavior, Attractive Product Characteristics, and Socio-Cognitive Factors are Important to Distinguish a Dual User from an Exclusive E-Cigarette User
Kim A. G. J. Romijnders et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2019)
Feature Interaction in Terms of Prediction Performance
Sejong Oh
APPLIED SCIENCES-BASEL (2019)
Mining user-generated content in an online smoking cessation community to identify smoking status: A machine learning approach
Xi Wang et al.
DECISION SUPPORT SYSTEMS (2019)
Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use
Nayoung Kim et al.
DRUG AND ALCOHOL DEPENDENCE (2019)
Identifying substance use risk based on deep neural networks and Instagram social media data
Saeed Hassanpour et al.
NEUROPSYCHOPHARMACOLOGY (2019)
Blood Biochemistry Analysis to Detect Smoking Status and Quantify Accelerated Aging in Smokers
Polina Mamoshina et al.
SCIENTIFIC REPORTS (2019)
Objective Detection of Cigarette Smoking from Physiological Sensor Signals
Masudul H. Imtiaz et al.
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) (2019)
Analyzing Topics of JUUL Discussions on Social Media Using a Semantics-assisted NMF model
Hejing Liu et al.
2019 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS (ISI) (2019)
A machine-learning approach for predicting success in smoking cessation intervention
Khishigsuren Davagdorj et al.
2019 IEEE 10TH INTERNATIONAL CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY (ICAST 2019) (2019)
Identifying Smoking Environments From Images of Daily Life With Deep Learning
Matthew M. Engelhard et al.
JAMA NETWORK OPEN (2019)
Classification of nicotine-dependent users in India: a decision-tree approach
Akansha Singh et al.
JOURNAL OF PUBLIC HEALTH-HEIDELBERG (2019)
Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation
Jiaheng Xie et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2018)
Effect of Real-Time Monitoring and Notification of Smoking Episodes on Smoking Reduction: A Pilot Study of a Novel Smoking Cessation App
Reuven Dar
NICOTINE & TOBACCO RESEARCH (2018)
Attitudes and experiences with secondhand smoke and smoke-free policies among subsidised and market-rate multiunit housing residents living in six diverse communities in the USA
Andrea S. Gentzke et al.
TOBACCO CONTROL (2018)
Machine Learning Approaches for Clinical Psychology and Psychiatry
Dominic B. Dwyer et al.
Annual Review of Clinical Psychology (2018)
Representations of electronic cigarettes in Chinese media
Shaojing Sun et al.
BMC PUBLIC HEALTH (2018)
Big Data and Machine Learning in Health Care
Andrew L. Beam et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2018)
Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review
Joeky T. Senders et al.
WORLD NEUROSURGERY (2018)
PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation
Andrea C. Tricco et al.
ANNALS OF INTERNAL MEDICINE (2018)
Dissociable psychosocial profiles of adolescent substance users
Amanda Fitzgerald et al.
PLOS ONE (2018)
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
Milena A. Gianfrancesco et al.
JAMA INTERNAL MEDICINE (2018)
Next generation media monitoring: Global coverage of electronic nicotine delivery systems (electronic cigarettes) on Bing, Google and Twitter, 2013-2018
John W. Ayers et al.
PLOS ONE (2018)
Leveraging Electronic Dental Record Data to Classify Patients Based on Their Smoking Intensity
J. Patel et al.
METHODS OF INFORMATION IN MEDICINE (2018)
Interpreting Social Media-based Substance Use Prediction Models with Knowledge Distillation
Tao Ding et al.
2018 IEEE 30TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI) (2018)
Smoking Activity Recognition Using a Single Wrist IMU and Deep Learning Light
Edwin Valarezo Anazco et al.
2018 2ND INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (ICDSP 2018) (2018)
Two-year trends and predictors of e-cigarette use in 27 European Union member states
Filippos T. Filippidis et al.
TOBACCO CONTROL (2017)
Mining social media data for opinion polarities about electronic cigarettes
Hongying Dai et al.
TOBACCO CONTROL (2017)
National substance use patterns on Twitter
Hsien-Wen Meng et al.
PLOS ONE (2017)
Improving Literature Searches
Marie Adorno et al.
CLINICAL NURSE SPECIALIST (2016)
Classifying smoking urges via machine learning
Antoine Dumortier et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2016)
An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media
Yunji Liang et al.
IEEE SYSTEMS JOURNAL (2016)
Toward automated e-cigarette surveillance: Spotting e-cigarette proponents on Twitter
Ramakanth Kavuluru et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2016)
Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View
Wei Luo et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2016)
Sweeter Than a Swisher': amount and themes of little cigar and cigarillo content on Twitter
Ganna Kostygina et al.
TOBACCO CONTROL (2016)
Association between menthol-flavoured cigarette smoking and flavoured little cigar and cigarillo use among African-American, Hispanic, and white young and middle-aged adult smokers
K. Sterling et al.
TOBACCO CONTROL (2016)
Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter
Eric M. Clark et al.
PLOS ONE (2016)
Towards identifying leading indicators of smoking cessation attempts from social media
Aron Culotta
2016 IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI) (2016)
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement
Gary S. Collins et al.
BMC MEDICINE (2015)
What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques
Annie T. Chen et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2015)
Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning
Heather Cole-Lewis et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2015)
Detecting Neuroimaging Biomarkers for Schizophrenia: A Meta-Analysis of Multivariate Pattern Recognition Studies
Joseph Kambeitz et al.
NEUROPSYCHOPHARMACOLOGY (2015)
Practical implementation of an existing smoking detection pipeline and reduced support vector machine training corpus requirements
Richard Khor et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2014)
A cross-sectional examination of marketing of electronic cigarettes on Twitter
Jidong Huang et al.
TOBACCO CONTROL (2014)
Laboratory Validation of Inertial Body Sensors to Detect Cigarette Smoking Arm Movements
Bethany R. Raiff et al.
ELECTRONICS (2014)
Monitoring of Cigarette Smoking Using Wearable Sensors and Support Vector Machines
Paulo Lopez-Meyer et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2013)
Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products
Mark Myslin et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2013)
Multilevel analysis of the determinants of smoking and second-hand smoke exposure in a tobacco-cultivating rural area of southwest China
Le Cai et al.
TOBACCO CONTROL (2013)
Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review
Graziella Orru et al.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2012)
Scoping studies: advancing the methodology
Danielle Levac et al.
IMPLEMENTATION SCIENCE (2010)
Identifying smokers with a medical extraction system
Cheryl Clark et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2008)
Classification of smoking cessation status with a backpropagation neural network
Mollie R. Poynton et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2006)
Share Paper
