Machine Learning for Predicting the Risk for Childhood Asthma Using Prenatal, Perinatal, Postnatal and Environmental Factors

The prevalence rate for childhood asthma and its associated risk factors vary significantly across countries and regions. In the case of Morocco, the scarcity of available medical data makes scientific research on diseases such as asthma very challenging. In this paper, we build machine learning mod...

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Detalles Bibliográficos
Autores principales: Jeddi, Zineb, Gryech, Ihsane, Ghogho, Mounir, EL Hammoumi, Maryame, Mahraoui, Chafiq
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623896/
https://www.ncbi.nlm.nih.gov/pubmed/34828510
http://dx.doi.org/10.3390/healthcare9111464

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623896/
https://www.ncbi.nlm.nih.gov/pubmed/34828510
http://dx.doi.org/10.3390/healthcare9111464

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