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Personalized prediction of early childhood asthma persistence: A machine learning approach
Early childhood asthma diagnosis is common; however, many children diagnosed before age 5 experience symptom resolution and it remains difficult to identify individuals whose symptoms will persist. Our objective was to develop machine learning models to identify which individuals diagnosed with asth...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920380/ https://www.ncbi.nlm.nih.gov/pubmed/33647071 http://dx.doi.org/10.1371/journal.pone.0247784 |