Evaluating Triple Therapy Treatment Pathways in Chronic Obstructive Pulmonary Disease (COPD): A Machine-Learning Predictive Model.
Michael BogartYuhang LiuTodd OaklandMarjorie A StieglerPublished in: International journal of chronic obstructive pulmonary disease (2022)
Frequent prior exacerbations, healthcare resource utilization, xanthine use, and rheumatoid arthritis were the strongest factors predicting the future increase of exacerbations. These results improve our understanding of exacerbation risk among COPD patients initiating triple therapy.
Keyphrases
- chronic obstructive pulmonary disease
- rheumatoid arthritis
- machine learning
- healthcare
- lung function
- cystic fibrosis
- end stage renal disease
- ejection fraction
- newly diagnosed
- prognostic factors
- stem cells
- disease activity
- uric acid
- artificial intelligence
- metabolic syndrome
- big data
- interstitial lung disease
- systemic sclerosis
- replacement therapy
- ankylosing spondylitis
- cell therapy
- extracorporeal membrane oxygenation
- bone marrow