Portal de investigação
The Association between Childhood Obesity and Cardiovascular Changes in 10 Years Using Special Data Science Analysis
Data de publicação:
Autores da FMUP
Participantes de fora da FMUP
- Cordeiro, JR
- Mosca, S
- Correia-Costa, A
- Ferreira, C
- Pimenta, J
- Correia-Costa, L
- Postolache, O
Unidades de investigação
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.
Dados da publicação
- ISSN/ISSNe:
- 0009-4064, 2227-9067
- Tipo:
- Article
- Páginas:
- 1655-
CHILDREN-BASEL MDPI AG
Documentos
- Não há documentos
Filiações
Keywords
- cardiovascular risk; childhood obesity; ECG analysis; neural architecture search; 1D convolutional neural network; 1D CNN
Financiamento
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Citar a publicação
Cordeiro JR,Mosca S,Correia A,Ferreira C,Pimenta J,Correia L,Barros H,Postolache O. The Association between Childhood Obesity and Cardiovascular Changes in 10 Years Using Special Data Science Analysis. Child. 2023. 10. (10):p. 1655-1655. IF:2,400. (2).
