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Predicting phenotypes of asthma and eczema with machine learning
BACKGROUND: There is increasing recognition that asthma and eczema are heterogeneous diseases. We investigated the predictive ability of a spectrum of machine learning methods to disambiguate clinical sub-groups of asthma, wheeze and eczema, using a large heterogeneous set of attributes in an unsele...
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| Päätekijät: | , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2014
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4101570/ https://ncbi.nlm.nih.gov/pubmed/25077568 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1755-8794-7-S1-S7 |
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