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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Zineb Jeddi, Ihsane Gryech, Mounir Ghogho, Maryame EL Hammoumi, Chafiq Mahraoui
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
R
Acceso en línea:https://doaj.org/article/630a899d9ccd42e89eb328b8a68945e6
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!