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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Precision Health Database|Search|Public Health Genomics and Precision Health Knowledge Base (PHGKB)
Heart, Lung, Blood and Sleep Disorders
Last data update: Apr 25, 2024
. (Total: 63675 Documents since 2012)
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Smoking[original query]>>Original Studies[Product Type]
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
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Describing patterns of familial cancer risk in subfertile men using population pedigree data.
Joemy M Ramsay et al. Hum Reprod 2024
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Convolutional neural networks combined with classification algorithms for the diagnosis of periodontitis.
Fang Dai et al. Oral Radiol 2024
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Sex Differences in Diagnosis, Treatment, and Cardiovascular Outcomes in Homozygous Familial Hypercholesterolemia.
Janneke W C M Mulder et al. JAMA Cardiol 2024
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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
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Mediating Factors in the Association of Maternal Educational Level With Pregnancy Outcomes: A Mendelian Randomization Study.
Tormod Rogne et al. JAMA Netw Open 2024 7(1) e2351166
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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
Family history, socioeconomic factors, comorbidities, health behaviors, and the risk of sudden cardiac arrest.
Eujene Jung et al. Sci Rep 2023 13(1) 21341
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Multitarget Stool RNA Test for Colorectal Cancer Screening.
Erica K Barnell et al. JAMA 2023
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Classification of patients with chronic disease by activation level using machine learning methods.
Onur Demiray et al. Health Care Manag Sci 2023
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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
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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
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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
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Cardiac Failure Forecasting Based on Clinical Data Using a Lightweight Machine Learning Metamodel.
Istiak Mahmud et al. Diagnostics (Basel) 2023 13(15)
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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
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Developing a nomogram for predicting depression in diabetic patients after COVID-19 using machine learning.
Haewon Byeon et al. Front Public Health 2023 111150818
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Diagnostic yield of a risk model versus faecal immunochemical test only: a randomised controlled trial in a colorectal cancer screening programme.
Tim L Kortlever et al. Br J Cancer 2023
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The causal effects of education on adult health, mortality and income: evidence from Mendelian randomization and the raising of the school leaving age.
Neil M Davies et al. Int J Epidemiol 2023
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The relation between epidermal growth factor receptor mutations profiles and smoking patterns in patients with lung adenocarcinoma: A cross-sectional study.
Seyedeh Yasamin Parvar et al. Health Sci Rep 2023 6(7) e1369
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Using Machine-Learning to Predict Sleep-Disordered Breathing Diagnosis From Medical Comorbidities and Craniofacial Features.
Stephen Cokim et al. Cureus 2023 15(5) e39798
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BRCA mutations detected by tumour next-generation sequencing in non-small cell lung cancer: impact on response to therapy and disease course.
Roi Tschernichovsky et al. Transl Lung Cancer Res 2023 12(5) 1011-1022
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Rare coding variants in CHRNB2 reduce the likelihood of smoking.
Veera M Rajagopal et al. Nat Genet 2023
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Predicting smoking cessation, reduction and relapse six months after using the Stop-Tabac app for smartphones: a machine learning analysis.
Jean-François Etter et al. BMC Public Health 2023 23(1) 1076
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Machine learning framework for atherosclerotic cardiovascular disease risk assessment.
Parya Esmaeili et al. J Diabetes Metab Disord 2023 22(1) 423-430
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Adjusting for population stratification in polygenic risk score analyses: a guide for model specifications in the UK Biobank.
Bochao Danae Lin et al. J Hum Genet 2023
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Development and internal-external validation of statistical and machine learning models for breast cancer prognostication: cohort study.
Ash Kieran Clift et al. BMJ 2023 381e073800
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Machine learning for screening of at-risk, mild and moderate COPD patients at risk of FEV decline: results from COPDGene and SPIROMICS.
Jennifer M Wang et al. Front Physiol 2023 141144192
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Cardiovascular Disease Risk Assessment Using Traditional Risk Factors and Polygenic Risk Scores in the Million Veteran Program.
Jason L Vassy et al. JAMA Cardiol 2023
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Artificial neural network machine learning prediction of the smoking behavior and health risks perception of Indonesian health professionals.
Desy Nuryunarsih et al. Environ Anal Health Toxicol 2023 38(1) e2023003-0
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Genomic Characterization Revealed PM-Associated Mutational Signatures in Lung Cancer Including Activation of APOBEC3B.
Rongrong Fan et al. Environ Sci Technol 2023
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 25, 2024
Content source:
Public Health Genomics Branch in the Division of Blood Disorders and Public Health Genomics
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National Center on Birth Defects and Developmental Disabilities
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