Smoking
What's New
Last Posted: Jun 25, 2024
- Individual Predictors of Response to A Behavioral Activation-Based Digital Smoking Cessation Intervention: A Machine Learning Approach.
Siyuan Huang et al. Subst Use Misuse 2024 1-9 - Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases.
Yifei Wana et al. J Biomed Inform 2024 104677 - Exacerbation predictive modelling using real-world data from the myCOPD app.
Henry M G Glyde et al. Heliyon 2024 10(10) e31201 - Telephone follow-up based on artificial intelligence technology among hypertension patients: Reliability study.
Siyuan Wang et al. J Clin Hypertens (Greenwich) 2024 - Using machine learning to extract information and predict outcomes from reports of randomised trials of smoking cessation interventions in the Human Behaviour-Change Project.
Robert West et al. Wellcome Open Res 2024 8452 - Personalized prediction of diabetic foot ulcer recurrence in elderly individuals using machine learning paradigms.
Shichai Hong et al. Technol Health Care 2024 - Carpal Tunnel Syndrome and Transthyretin Amyloidosis in the All of Us Research Program.
Naman S Shetty et al. Mayo Clin Proc 2024 - An approach to identify gene-environment interactions and reveal new biological insight in complex traits
- A scoping review of web-based, interactive, personalized decision-making tools available to support breast cancer treatment and survivorship care.
Kaitlyn M Wojcik et al. J Cancer Surviv 2024 - A Scoping Review of Personalized, Interactive, Web-Based Clinical Decision Tools Available for Breast Cancer Prevention and Screening in the United States.
Dalya Kamil et al. MDM Policy Pract 2024 9(1) 23814683241236511 - Health-Related quality of life and DNA Methylation-Based aging biomarkers among survivors of childhood cancer.
Noel-Marie Plonski et al. J Natl Cancer Inst 2024 - Describing patterns of familial cancer risk in subfertile men using population pedigree data.
Joemy M Ramsay et al. Hum Reprod 2024 - Convolutional neural networks combined with classification algorithms for the diagnosis of periodontitis.
Fang Dai et al. Oral Radiol 2024 - Sex Differences in Diagnosis, Treatment, and Cardiovascular Outcomes in Homozygous Familial Hypercholesterolemia.
Janneke W C M Mulder et al. JAMA Cardiol 2024 - An ecological examination of early adolescent e-cigarette use: A machine learning approach to understanding a health epidemic.
Alejandro L Vázquez et al. PLoS One 2024 19(2) e0287878 - Mediating Factors in the Association of Maternal Educational Level With Pregnancy Outcomes: A Mendelian Randomization Study.
Tormod Rogne et al. JAMA Netw Open 2024 1 (1) e2351166 - Lung cancer in patients who have never smoked - an emerging disease.
Jaclyn LoPiccolo et al. Nat Rev Clin Oncol 2024 1 - Comprehensive evaluation of smoking exposures and their interactions on DNA methylation
TT Hoang et al, EBiomedicine, January 9, 2024 - Using phylogenomic analysis, we identified leading indicators that would have generated EWS ahead of significant increases in COVID-19 hospitalisations in the UK between August 2020 and March 2022. Our results also show that EWS lead time is sensitive to the threshold set for the number of false positive (FP) EWS.
TT Hoang et al, EBiomedicine, January 9, 2024 - Genomic landscape and actionable mutations of brain metastases derived from non-small cell lung cancer: A systematic review.
Lily J Andrews et al. Neurooncol Adv 2023 5(1) vdad145 - Family history, socioeconomic factors, comorbidities, health behaviors, and the risk of sudden cardiac arrest.
Eujene Jung et al. Sci Rep 2023 13(1) 21341 - Neighborhood Deprivation Measures and DNA Methylation Clocks-Understanding the Real Needs of Each Person.
Benjamin D Horne et al. JAMA Netw Open 2023 11 (11) e2344688 - Multitarget Stool RNA Test for Colorectal Cancer Screening.
Erica K Barnell et al. JAMA 2023 - Cost-utility analysis and cross-country comparison of pharmacogenomics-guided treatment in colorectal cancer patients participating in the U-PGx PREPARE study.
Vasileios Fragoulakis et al. Pharmacol Res 2023 106949 - Classification of patients with chronic disease by activation level using machine learning methods.
Onur Demiray et al. Health Care Manag Sci 2023 - Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study.
Mehdi Amini et al. Sci Rep 2023 13(1) 14920 - Cardiac Failure Forecasting Based on Clinical Data Using a Lightweight Machine Learning Metamodel.
Istiak Mahmud et al. Diagnostics (Basel) 2023 13(15) - Comparisons of the prediction models for undiagnosed diabetes between machine learning versus traditional statistical methods.
Seong Gyu Choi et al. Sci Rep 2023 13(1) 13101 - Early-Life Adversity Associations With Later Life Epigenetic Aging Profiles in the Multi-Ethnic Study of Atherosclerosis.
Lauren L Schmitz et al. Am J Epidemiol 2023 - Identification of Sociodemographic, Clinical, and Genetic Factors to Aid Alaska Native and American Indian People to Successfully Quit Smoking.
Jaedon P Avey et al. Nicotine Tob Res 2023
More
About HLBS-PopOmics
HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
Content Summary
Common HLBS Health Categories
Site Citation:
Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Content source: