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Last Posted: May 09, 2023

• 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
• Deep learning model improves COPD risk prediction and gene discovery.
  et al. Nat Genet 2023 4
• 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 4
• 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 3 (3) 410-422
• 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
• 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
• 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
• Artificial Intelligence Analysis of Bronchiectasis Is Predictive of Outcomes in Chronic Obstructive Pulmonary Disease.
  Schiebler Mark L et al. Radiology 2022 222675
• Using genomic profiling for understanding and improving response to smoking cessation treatment.
  Bierut Laura J et al. Current epidemiology reports 2022 6(4) 486-490
• 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

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