Publications by authors named "S La Grutta"
Background: Asthma exacerbations in children pose a significant burden on healthcare systems and families. While traditional risk assessment tools exist, artificial intelligence (AI) offers the potential for enhanced prediction models.
Objective: This study aims to systematically evaluate and quantify the performance of machine learning (ML) algorithms in predicting the risk of hospitalisation and emergency department (ED) admission for acute asthma exacerbations in children.
Background: Asthma is a common, multifactorial chronic disease with a major impact on children and adolescents. Exposure to food contaminants is one of the contributing factors to asthma. This study aims to evaluate the intake and exposure of different contaminants and explore their association with childhood asthma.
View Article and Find Full Text PDFDue to the increasing importance of exposome in environmental epidemiology, feasibility and usefulness of an Environmental Data Management System (EDMS) using Open Data was evaluated. The EDMS includes data from 10 European cities (Celje (Slovenia), Łódź (Poland), Manchester (UK), Palermo (Italy), Paris (France), Porto (Portugal), Regensburg (Germany), Reus (Spain), Rijeka (Croatia), Thessaloniki (Greece)) about external non-specific and specific exposome factors at the city or country level (2017-2020). Findings showed that the highest values of life expectancy were in Reus females (86 years) and Palermo males (81 years).
View Article and Find Full Text PDFObjectives: Chest high-resolution computed tomography (HRCT) is conditionally recommended to rule out conditions that mimic or coexist with severe asthma in children. However, it may provide valuable insights into identifying structural airway changes in pediatric patients. This study aims to develop a machine learning-based chest HRCT image analysis model to aid pediatric pulmonologists in identifying features of severe asthma.
View Article and Find Full Text PDFArticle Synopsis
- - The traditional healthcare approach often overlooks patients' personal experiences and strengths, focusing mainly on disease treatment. Person-centered care aims to align medical decisions with individual values and preferences, particularly for those with chronic conditions.
- - This paper seeks to enhance care for rhinitis and asthma by developing digital care pathways and incorporating real-world evidence to create a more patient-centered approach.
- - Key components of the review include advancements in mHealth, the integration of artificial intelligence, a novel classification system for airway diseases, and proposals for the ARIA 2024 guidelines, all targeting a sustainable and applicable healthcare model.