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A modern approach to identifying and characterizing child asthma and wheeze phenotypes based on clinical data
‘Asthma’ is a complex disease that encapsulates a heterogeneous group of phenotypes and endotypes. Research to understand these phenotypes has previously been based on longitudinal wheeze patterns or hypothesis-driven observational criteria. The aim of this study was to use data-driven machine learn...
Tallennettuna:
| Julkaisussa: | PLoS One |
|---|---|
| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Public Library of Science
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6936778/ https://ncbi.nlm.nih.gov/pubmed/31887128 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0227091 |
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