Center for Environmental and Respiratory Health Research, Oulu, Finland;
A critical aspect to improve health-related outcomes is the early identification of children at risk of developing chronic diseases such as asthma and, consequently, the implementation of effective preventive strategies. Asthma aff ects around 7% of Portuguese school-aged children, and it is the most prevalent chronic condition among this age group. Asthma is a complex and multifactorial disease, with both genetic and environmental determinants that impact the multiple and heterogeneous clinical presentations of this chronic disease. The project’s team has been studying pharmacological and non-pharmacological approaches, including environmental determinants, to prevent the development of asthma in school-aged children, improve diagnosis, and provide health-related recommendations. Therefore, the ORACLE project intends to create and deliver a clinical usefultool aiming to predict the risk of asthma development among Portuguese children using a population-based birth cohort. Within an artificial intelligence and machine learning approach, we will develop and test apredictive algorithm that best fits the data, having in mind meaningful asthma predictors easily assessed ina daily context.
