Impact of Air Pollutants on Children's Health: A Predictive Approach Based on Neural Networks

Khaoula Bouharati; Imene Bouharati

doi:10.36013/ijipem.v10i.127

Khaoula Bouharati Faculty of Medicine, UFAS Setif 1 University
Bouharati I. Faculty of Medicine, UFAS Setif1 University, Algeria

DOI: https://doi.org/10.36013/ijipem.v10i.127

Keywords: Air pollution, Children's health, Vulnerability, Artificial neural networks, Environmental policy.

Abstract

Air pollution is an environmental factor that affects children's health from pregnancy and continues throughout their development. This pollution constitutes a major public health issue for children. Children’s respiratory and immune systems are still developing, making them particularly vulnerable to environmental pollutants. Their high respiratory rates and greater exposure further increase this vulnerability. This article examines the effects of major pollutants on child health by integrating a predictive modeling approach using artificial neural networks. This model makes it possible to anticipate the impact of pollutants and guide environmental policies for better protection of children.

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