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Public Health Genomics and Precision Health Knowledge Base (v9.0)
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Heart, Lung, Blood and Sleep Disorders
Last data update: Apr 19, 2024
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Predicting early-onset COPD risk in adults aged 20-50 using electronic health records and machine learning.
Guanglei Liu et al. PeerJ 2024 12e16950
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A machine learning model for predicting acute exacerbation of in-home chronic obstructive pulmonary disease patients.
Huiming Yin et al. Comput Methods Programs Biomed 2024 246108005
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A novel risk score predicting 30-day hospital re-admission of patients with acute stroke by machine learning model.
Giovanna Mercurio et al. Eur J Neurol 2023
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Machine learning for the development of diagnostic models of decompensated heart failure or exacerbation of chronic obstructive pulmonary disease.
César Gálvez-Barrón et al. Sci Rep 2023 13(1) 12709
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Using random forest machine learning on data from a large, representative cohort of the general population improves clinical spirometry references.
Kris Kristensen et al. Clin Respir J 2023
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Experimental drugs in clinical trials for COPD: Artificial Intelligence via Machine Learning approach to predict the successful advance from early-stage development to approval.
Luigino Calzetta et al. Expert Opin Investig Drugs 2023
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A new diagnostic method for chronic obstructive pulmonary disease using the photoplethysmography signal and hybrid artificial intelligence.
Engin Melekoglu et al. PeerJ Comput Sci 2023 8e1188
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Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study.
Johan N Siebert et al. BMC Pulm Med 2023 23(1) 191
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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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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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Estimating individual treatment effects on COPD exacerbations by causal machine learning on randomised controlled trials.
Kenneth Verstraete et al. Thorax 2023
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Development and validation of a respiratory-responsive vocal biomarker-based tool for generalizable detection of respiratory impairment: independent case-control studies in multiple respiratory conditions including asthma, chronic obstructive pulmonary disease, and COVID-19.
Savneet Kaur et al. Journal of medical Internet research 2023
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Intercontinental validation of a clinical prediction model for predicting 90-day and 2-year mortality in an Israeli cohort of 2033 patients with a femoral neck fracture aged 65 or above.
Jacobien H F Oosterhoff et al. European journal of trauma and emergency surgery : official publication of the European Trauma Society 2023
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Prediction of short-term atrial fibrillation risk using primary care electronic health records.
Ramesh Nadarajah et al. Heart (British Cardiac Society) 2023
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Diagnostic performance of a machine-learning algorithm (Asthma/COPD Differentiation Classification; AC/DC) tool versus primary care physicians and pulmonologists in asthma, COPD and ACO.
Janwillem W H Kocks et al. The journal of allergy and clinical immunology. In practice 2023
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Machine learning-enabled risk prediction of chronic obstructive pulmonary disease with unbalanced data.
Wang Xuchun et al. Computer methods and programs in biomedicine 2023 230107340
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Artificial Intelligence Analysis of Bronchiectasis Is Predictive of Outcomes in Chronic Obstructive Pulmonary Disease.
Schiebler Mark L et al. Radiology 2022 222675
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Community determinants of COPD exacerbations in elderly patients in Lodz province, Poland: a retrospective observational Big Data cohort study.
Kowalczyk Anna et al. BMJ open 2022 12(10) e060247
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Artificial intelligence to differentiate asthma from COPD in medico-administrative databases.
Joumaa Hassan et al. BMC pulmonary medicine 2022 22(1) 357
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[Quantitative Evaluation of Airway Lesions in Chronic Obstructive Pulmonary Disease by Applying Deep Learning Reconstruction to Ultra-high-resolution CT Images: Correlation between Wall Area Percentage and Forced Expiratory Volume in One Second Percentage].
Muramatsu Shun et al. Nihon Hoshasen Gijutsu Gakkai zasshi 2022
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Predictive modeling of COPD exacerbation rates using baseline risk factors.
Singh Dave et al. Therapeutic advances in respiratory disease 2022 1617534666221107314
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A New Random Forest Algorithm-Based Prediction Model of Post-operative Mortality in Geriatric Patients With Hip Fractures.
Xing Fei et al. Frontiers in medicine 2022 9829977
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Predicting 30-Day Readmission Risk for Patients With Chronic Obstructive Pulmonary Disease Through a Federated Machine Learning Architecture on Findable, Accessible, Interoperable, and Reusable (FAIR) Data: Development and Validation Study.
Alvarez-Romero Celia et al. JMIR medical informatics 2022 10(6) e35307
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Prediction and Diagnosis of Respiratory Disease by Combining Convolutional Neural Network and Bi-directional Long Short-Term Memory Methods.
Li Li et al. Frontiers in public health 2022 10881234
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Prediction of Chronic Obstructive Pulmonary Disease Exacerbation Events by Using Patient Self-reported Data in a Digital Health App: Statistical Evaluation and Machine Learning Approach.
Chmiel Francis P et al. JMIR medical informatics 2022 10(3) e26499
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Associations between short-term ambient ozone exposure and cause-specific mortality in rural and urban areas of Jiangsu, China.
Lin Chengyi et al. Environmental research 2022 113098
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Combining chest X-rays and electronic health record (EHR) data using machine learning to diagnose acute respiratory failure.
Jabbour Sarah et al. Journal of the American Medical Informatics Association : JAMIA 2022
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Digital healthcare in COPD management: a narrative review on the advantages, pitfalls, and need for further research.
Watson Alastair et al. Therapeutic advances in respiratory disease 2022 1617534666221075493
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Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach.
Sun Jiaxing et al. European radiology 2022
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Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study.
Zeng Siyang et al. JMIR medical informatics 2022 10(2) e33043
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Page last reviewed:
Feb 1, 2024
Page last updated:
Apr 19, 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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