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Discovering Pediatric Asthma Phenotypes on the Basis of Response to Controller Medication Using Machine Learning
Rationale: Pediatric asthma has variable underlying inflammation and symptom control. Approaches to addressing this heterogeneity, such as clustering methods to find phenotypes and predict outcomes, have been investigated. However, clustering based on the relationship between treatment and clinical...
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| Veröffentlicht in: | Ann Am Thorac Soc |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Thoracic Society
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5822415/ https://ncbi.nlm.nih.gov/pubmed/29048949 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1513/AnnalsATS.201702-101OC |
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