AIMC Topic: Tobacco Smoking

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Machine learning based assessment of preclinical health questionnaires.

International journal of medical informatics Oct 21, 2023
BACKGROUND: Within modern health systems, the possibility of accessing a large amount and a variety of data related to patients' health has increased significantly over the years. The source of this data could be mobile and wearable electronic system...
Female Risk Assessment Machine Learning Pregnancy Pregnancy Complications Tobacco Smoking Surveys and Questionnaires Smoking Humans
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Predicting the first smoking lapse during a quit attempt: A machine learning approach.

Drug and alcohol dependence Oct 11, 2020
BACKGROUND: Just-in-time adaptive interventions (JITAI) aim to prevent smoking lapse using tailored support delivered via mobile technology in the moments when it is most needed. Effective smoking cessation JITAI rely on the development of accurate d...
Adult Male Female Tobacco Products Motivation Middle Aged Smartphone Humans Machine Learning Smoking Cessation Smokers Tobacco Smoking Ecological Momentary Assessment Smoking Recurrence
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Predictors of adherence to nicotine replacement therapy: Machine learning evidence that perceived need predicts medication use.

Drug and alcohol dependence Oct 25, 2019
BACKGROUND: Nonadherence to smoking cessation medication is a frequent problem. Identifying pre-quit predictors of nonadherence may help explain nonadherence and suggest tailored interventions to address it.
Tobacco Smoking Tobacco Use Cessation Devices Needs Assessment Behavior Therapy Counseling Female Young Adult Adult Male Humans Motivation Medication Adherence Machine Learning Smokers Nicotine Middle Aged Tobacco Use Disorder Smoking Cessation
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Using Elastic Net Penalized Cox Proportional Hazards Regression to Identify Predictors of Imminent Smoking Lapse.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco Jan 4, 2019
INTRODUCTION: Machine learning algorithms such as elastic net regression and backward selection provide a unique and powerful approach to model building given a set of psychosocial predictors of smoking lapse measured repeatedly via ecological moment...
Tobacco Smoking Predictive Value of Tests Adult Proportional Hazards Models Middle Aged Machine Learning Male Follow-Up Studies Smoking Cessation Smartphone Smokers Female Ecological Momentary Assessment Humans Recurrence
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