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Determining asthma endotypes and outcomes: Complementing existing clinical practice with modern machine learning
There is unprecedented opportunity to use machine learning to integrate high-dimensional molecular data with clinical characteristics to accurately diagnose and manage disease. Asthma is a complex and heterogeneous disease and cannot be solely explained by an aberrant type 2 (T2) immune response. Av...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798025/ https://www.ncbi.nlm.nih.gov/pubmed/36543110 http://dx.doi.org/10.1016/j.xcrm.2022.100857 |