Unsupervised phenotyping of Severe Asthma Research Program participants using expanded lung data

Keyphrases

• Age of Asthma Onset 50%
• Allergic Asthma 50%
• Asthma 50%
• Asthma Phenotypes 50%
• Asthma Symptoms 50%
• Bronchoalveolar Lavage Fluid 50%
• Bronchoscopic 50%
• Clinical Data 50%
• Clustering Approach 50%
• Corticosteroid Use 50%
• Early Onset 50%
• Eosinophilic Inflammation 50%
• Exhaled Nitric Oxide 50%
• Health Care Use 50%
• Health Quality 50%
• Late-onset 50%
• Lung 100%
• Lung Function 50%
• Machine Learning Approach 50%
• Medication Care 50%
• Nasal Eosinophilia 50%
• Nasal Polyps 50%
• Persistent Inflammation 50%
• Physiologic 100%
• Predictive Value 100%
• Program Participant 100%
• Quality of Life 50%
• Severe Asthma 100%
• Severe Asthma Research Program 100%
• Supervised Learning Method 100%
• Symptom Care 50%
• Systemic Corticosteroids 50%
• Unsupervised Clustering 100%
• Unsupervised Machine Learning Approach 50%

Immunology and Microbiology

• Allergic Asthma 25%
• Asthma 75%
• Bronchoalveolar Lavage Fluid 25%
• Exhaled Nitric Oxide 25%
• Phenotype 100%
• Severe Asthma 100%
• Unsupervised Machine Learning 25%

Pharmacology, Toxicology and Pharmaceutical Science

• Allergic Asthma 14%
• Asthma 100%
• Corticosteroid 14%
• Disease 14%
• Eosinophilia 14%
• Inflammation 28%
• Nitric Oxide 14%
• Nose Polyp 14%
• Side Effect 14%
• Symptom 14%