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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Detalles Bibliográficos
Autores principales: Prosperi, Mattia CF, Marinho, Susana, Simpson, Angela, Custovic, Adnan, Buchan, Iain E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101570/
https://www.ncbi.nlm.nih.gov/pubmed/25077568
http://dx.doi.org/10.1186/1755-8794-7-S1-S7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101570/
https://www.ncbi.nlm.nih.gov/pubmed/25077568
http://dx.doi.org/10.1186/1755-8794-7-S1-S7

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