Machine learning: A modern approach to pediatric asthma.
Pediatr Allergy Immunol
; 33 Suppl 27: 34-37, 2022 01.
Article
em En
| MEDLINE
| ID: mdl-35080316
ABSTRACT
Among modern methods of statistical and computational analysis, the application of machine learning (ML) to healthcare data has been gaining recognition in helping us understand the heterogeneity of asthma and predicting its progression. In pediatric research, ML approaches may provide rapid advances in uncovering asthma phenotypes with potential translational impact in clinical practice. Also, several accurate models to predict asthma and its progression have been developed using ML. Here, we provide a brief overview of ML approaches recently proposed to characterize pediatric asthma.
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Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Child
/
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article