Deep Learning And Machine Learning Prognostic Models For Chronic Obstructive Pulmonary Disease

This meta-analysis evaluated the quality and performance of deep learning and machine learning models for long-term chronic obstructive pulmonary disease (COPD) prognosis. The researchers compared the models with previous predictive regression models and found that deep learning and machine learning models were more accurate in predicting long-term COPD progression. The study included studies with human participants aged 18 to 90 years with a history of COPD for ≥6.0 months. The results showed that deep learning and machine learning models had higher accuracy than the predictive regression models.