- Nov 2022
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Prediction of short term re-exacerbation inpatients with acute exacerbation of chronicobstructive pulmonary disease
Prediction of short term re-exacerbation in patients with acute exacerbation of chronic obstructive pulmonary disease
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Development and validation of a model to predictthe risk of exacerbations in chronic obstructivepulmonary disease
Development and validation of a model to predict the risk of exacerbations in chronic obstructive pulmonary disease
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Prediction of severe exacerbations and mortalityin COPD: the role of exacerbation history andinspiratory capacity/total lung capacity ratio
Prediction of severe exacerbations and mortality in COPD: the role of exacerbation history and inspiratory capacity/total lung capacity ratio
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Prediction models for exacerbations in differentCOPD patient populations: comparing results offive large data sources
Prediction models for exacerbations in different COPD patient populations: comparing results of five large data sources
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Predicting Hospitalization Due to COPDExacerbations in Swedish Primary Care PatientsUsing Machine Learning – Based on the ARCTICStudy
Predicting Hospitalization Due to COPD Exacerbations in Swedish Primary Care Patients Using Machine Learning – Based on the ARCTIC Study
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Development and Validation of a MultivariablePrediction Model to Identify Acute Exacerbationof COPD and Its Severity for COPD Managementin China (DETECT Study): A Multicenter,Observational, Cross-Sectional Study
Development and Validation of a Multivariable Prediction Model to Identify Acute Exacerbation of COPD and Its Severity for COPD Management in China (DETECT Study): A Multicenter, Observational, Cross-Sectional Study
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Predicting Re-Exacerbation Timing andUnderstanding Prolonged Exacerbations: AnAnalysis of Patients with COPD in the ECLIPSECohort
Predicting Re-Exacerbation Timing and Understanding Prolonged Exacerbations: An Analysis of Patients with COPD in the ECLIPSE Cohort
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