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Public Health Genomics and Precision Health Knowledge Base (v8.6)
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Office of Genomics and Precision Public Health
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Last data update: May 31, 2023
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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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The importance of association of comorbidities on COVID-19 outcomes: a machine learning approach.
Arévalo-Lorido José Carlos et al. Current medical research and opinion 2022 1-32
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Exploratory study on classification of chronic obstructive pulmonary disease combining multi-stage feature fusion and machine learning.
Peng Junfeng et al. BMC medical informatics and decision making 2021 21(1) 348
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Application of Artificial Intelligence in Emergency Nursing of Patients with Chronic Obstructive Pulmonary Disease.
Hong Lingzhi et al. Contrast media & molecular imaging 2021 20216423398
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Predicting cardiovascular risk from national administrative databases using a combined survival analysis and deep learning approach.
Barbieri Sebastiano et al. International journal of epidemiology 2021
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Analyzing the use of artificial intelligence for the management of chronic obstructive pulmonary disease (COPD).
De Ramón Fernández Alberto et al. International journal of medical informatics 2021 158104640
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AI in predicting COPD in the Canadian population.
Zafari Hasan et al. Bio Systems 2021 104585
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Technical validation of real-world monitoring of gait: a multicentric observational study.
Mazzà Claudia et al. BMJ open 2021 11(12) e050785
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Fast decliner phenotype of chronic obstructive pulmonary disease (COPD): applying machine learning for predicting lung function loss.
Nikolaou Vasilis et al. BMJ open respiratory research 2021 8(1)
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Page last reviewed:
Feb 1, 2023
Page last updated:
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