Results 81 to 90 of about 137,108 (334)
Doubly-Robust Dynamic Treatment Regimen Estimation for Binary Outcomes [PDF]
arXiv, 2022 In precision medicine, Dynamic Treatment Regimes (DTRs) are treatment protocols that adapt over time in response to a patient's observed characteristics. A DTR is a set of decision functions that takes an individual patient's information as arguments and outputs an action to be taken.
arxiv
On Using Chatbots to Promote Smoking Cessation Among Adolescents of Low Socioeconomic Status [PDF]
arXiv, 2019 Reducing youth tobacco use is critical for improving child health since tobacco use is associated with respiratory problems, and nicotine may interfere with healthy brain development. While tobacco regulation has contributed to declines in cigarette use among youth, these declines have occurred more quickly for youth of high socioeconomic status (SES ...
arxiv
British Journal of Clinical Pharmacology, EarlyView.Aims Daily broad‐spectrum micronutrients are being used by the general public and formulations are receiving research interest in mental health settings. Despite concerns about combining medicines and broad‐spectrum micronutrients in mental health care, there have not been any formal evaluations of potential interactions.
Bess M. Kew +7 more
wiley +1 more source
Design of two combined health recommender systems for tailoring messages in a smoking cessation app [PDF]
arXiv, 2016 In this article, we describe the design of two recommender systems (RS) designed to support the smoking cessation process through a mobile application. We plan to use a hybrid RS (content-based, utility-based, and demographic filtering) to tailor health recommendation messages, and a content-based RS to schedule a timely delivery of the message.
arxiv
Estimating the impact of treatment compliance over time on smoking cessation using data from ecological momentary assessments (EMA) [PDF]
arXiv, 2020 The Wisconsin Smoker's Health Study (WSHS2) was a longitudinal trial conducted to compare the effectiveness of two commonly used smoking cessation treatments, varenicline and combination nicotine replacement therapy (cNRT) with the less intense standard of care, nicotine patch.
arxiv
ESC-Rules: Explainable, Semantically Constrained Rule Sets [PDF]
arXiv, 2022 We describe a novel approach to explainable prediction of a continuous variable based on learning fuzzy weighted rules. Our model trains a set of weighted rules to maximise prediction accuracy and minimise an ontology-based 'semantic loss' function including user-specified constraints on the rules that should be learned in order to maximise the ...
arxiv
Nicobrevin for smoking cessation [PDF]
Cochrane Database of Systematic Reviews, 2006 Nicobrevin is a proprietary product marketed as an aid to smoking cessation. It contains quinine, menthyl valerate, camphor and eucalyptus oil.The objective of this review was to assess the effects of Nicobrevin on long term smoking cessationWe searched the Cochrane Tobacco Addiction Group trials register.Randomized trials comparing Nicobrevin to ...
Stead, L, Lancaster, T
openaire +4 more sources
Innovative transdermal drug delivery systems: Benefits, challenges, and emerging application
BMEMat, EarlyView.The graphical abstract illustrates the diverse nanostructures employed in transdermal drug delivery systems, highlighting their unique mechanisms to penetrate the intricate layers of skin. It provides a detailed representation of the skin's complex anatomy, emphasizing the challenges posed by its barrier properties.
Syed Waqas Ali Shah +9 more
wiley +1 more source
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model [PDF]
arXiv, 2018 Health risks from cigarette smoking -- the leading cause of preventable death in the United States -- can be substantially reduced by quitting. Although most smokers are motivated to quit, the majority of quit attempts fail. A number of studies have explored the role of self-reported symptoms, physiologic measurements, and environmental context on ...
arxiv
Likelihood-Based Inference for Semi-Parametric Transformation Cure Models with Interval Censored Data [PDF]
arXiv, 2023 A simple yet effective way of modeling survival data with cure fraction is by considering Box-Cox transformation cure model (BCTM) that unifies mixture and promotion time cure models. In this article, we numerically study the statistical properties of the BCTM when applied to interval censored data.
arxiv