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Precision Health Database


Precision Health Database|Search|PHGKB

Heart, Lung, Blood and Sleep Disorders

Last data update: May 31, 2023. (Total: 60044 Documents since 2012)
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Query Trace: Chronic Obstructive Pulmonary Disease[original query]>>Original Studies[Product Type]
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
Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk models.
Justin Cosentino et al. Nat Genet 2023
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
Estimating individual treatment effects on COPD exacerbations by causal machine learning on randomised controlled trials.
Kenneth Verstraete et al. Thorax 2023
Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk.
Nick Shrine et al. Nature genetics 2023 55(3) 410-422
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
Prediction of short-term atrial fibrillation risk using primary care electronic health records.
Ramesh Nadarajah et al. Heart (British Cardiac Society) 2023
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
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
Artificial intelligence to differentiate asthma from COPD in medico-administrative databases.
Joumaa Hassan et al. BMC pulmonary medicine 2022 22(1) 357
Prediction of COPD acute exacerbation in response to air pollution using exosomal circRNA profile and Machine learning.
Meng Qingtao et al. Environment international 2022 168107469
[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
Predictive modeling of COPD exacerbation rates using baseline risk factors.
Singh Dave et al. Therapeutic advances in respiratory disease 2022 1617534666221107314
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
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
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
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
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
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
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
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
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
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
Application of Artificial Intelligence in Emergency Nursing of Patients with Chronic Obstructive Pulmonary Disease.
Hong Lingzhi et al. Contrast media & molecular imaging 2021 20216423398
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
AI in predicting COPD in the Canadian population.
Zafari Hasan et al. Bio Systems 2021 104585
Technical validation of real-world monitoring of gait: a multicentric observational study.
Mazzà Claudia et al. BMJ open 2021 11(12) e050785
Unmanaged Pharmacogenomic and Drug Interaction Risk Associations with Hospital Length of Stay among Medicare Advantage Members with COVID-19: A Retrospective Cohort Study.
Ashcraft Kristine et al. Journal of personalized medicine 2021 11(11)
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)
Prediction of Incident Atrial Fibrillation in Chronic Kidney Disease: The Chronic Renal Insufficiency Cohort Study.
Zelnick Leila R et al. Clinical journal of the American Society of Nephrology : CJASN 2021 16(7) 1015-1024
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