학술논문

The Association between Childhood Obesity and Cardiovascular Changes in 10 Years Using Special Data Science Analysis
Document Type
article
Source
Children, Vol 10, Iss 10, p 1655 (2023)
Subject
cardiovascular risk
childhood obesity
ECG analysis
neural architecture search
1D convolutional neural network
1D CNN
Pediatrics
RJ1-570
Language
English
ISSN
2227-9067
Abstract
The increasing prevalence of overweight and obesity is a worldwide problem, with several well-known consequences that might start to develop early in life during childhood. The present research based on data from children that have been followed since birth in a previously established cohort study (Generation XXI, Porto, Portugal), taking advantage of State-of-the-Art (SoA) data science techniques and methods, including Neural Architecture Search (NAS), explainable Artificial Intelligence (XAI), and Deep Learning (DL), aimed to explore the hidden value of data, namely on electrocardiogram (ECG) records performed during follow-up visits. The combination of these techniques allowed us to clarify subtle cardiovascular changes already present at 10 years of age, which are evident from ECG analysis and probably induced by the presence of obesity. The proposed novel combination of new methodologies and techniques is discussed, as well as their applicability in other health domains.