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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Last data update: May 09, 2024
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PRERISK: A Personalized, Artificial Intelligence-Based and Statistically-Based Stroke Recurrence Predictor for Recurrent Stroke.
Giorgio Colangelo et al. Stroke 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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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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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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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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A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics.
Hari Mohan Rai et al. J Cancer Res Clin Oncol 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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Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program.
Wanting Cui et al. Stud Health Technol Inform 2023 305568-571
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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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Predictive value of machine learning for breast cancer recurrence: a systematic review and meta-analysis.
Dongmei Lu et al. J Cancer Res Clin Oncol 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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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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Who Responds to a Multi-Component Treatment for Cannabis Use Disorder? Using Multivariable and Machine Learning Models to Classify Treatment Responders and Non-Responders.
Rachel L Tomko et al. Addiction 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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Interpretable Machine Learning for Fall Prediction among Older Adults in China.
Xiaodong Chen et al. Am J Prev Med
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Modelling 30-day hospital readmission after discharge for COPD patients based on electronic health records.
Meng Li et al. NPJ Prim Care Respir Med 2023 33(1) 16
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Development and Validation of a Prediction Model for Future Estimated Glomerular Filtration Rate in People With Type 2 Diabetes and Chronic Kidney Disease.
Mariella Gregorich et al. JAMA network open 2023 6(4) e231870
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Classification of lapses in smokers attempting to stop: A supervised machine learning approach using data from a popular smoking cessation smartphone app.
Olga Perski et al. Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco 2023
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Value of contrast-enhanced magnetic resonance imaging-T2WI-based radiomic features in distinguishing lung adenocarcinoma from lung squamous cell carcinoma with solid components >8 mm.
Maoyuan Yang et al. Journal of thoracic disease 2023 15(2) 635-648
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Development and validation of a machine learning-based tool to predict autism among children.
Kim Steven Betts et al. Autism research : official journal of the International Society for Autism Research 2023
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Identification of High Likelihood of Dementia in Population-Based Surveys using Unsupervised Clustering: a Longitudinal Analysis.
Amin Gharbi-Meliani et al. medRxiv : the preprint server for health sciences 2023
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Development of a computerized adaptive substance use disorder scale for screening, measurement and diagnosis - The CAT-SUD-E.
Leslie A Hulvershorn et al. Drug and alcohol dependence reports 2023 3100047
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Machine learning-based model for predicting the esophagogastric variceal bleeding risk in liver cirrhosis patients.
Yixin Hou et al. Diagnostic pathology 2023 18(1) 29
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Artificial Intelligence-Based Chatbots for Promoting Health Behavioral Changes: Systematic Review.
Abhishek Aggarwal et al. Journal of medical Internet research 2023 25e40789
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Bayesian network modeling of risk and prodromal markers of Parkinson's disease.
Meemansa Sood et al. PloS one 2023 18(2) e0280609
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Social Determinants, Cardiovascular Disease, and Health Care Cost: A Nationwide Study in the United States Using Machine Learning.
Feinuo Sun et al. Journal of the American Heart Association 2023 e027919
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Page last reviewed:
Feb 1, 2024
Page last updated:
May 09, 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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