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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Bibliographic Details
Main Authors:	Prosperi, Mattia CF, Marinho, Susana, Simpson, Angela, Custovic, Adnan, Buchan, Iain E
Format:	Artigo
Language:	Inglês
Published:	BioMed Central 2014
Subjects:	Research
Online Access:	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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Predicting phenotypes of asthma and eczema with machine learning

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