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Electrocardiogram-Based Heart Age Estimation by a Deep Learning Model Provides More Information on the Incidence of Cardiovascular Disorders

OBJECTIVE: The biological age progression of the heart varies from person to person. We developed a deep learning model (DLM) to predict the biological age via ECG to explore its contribution to future cardiovascular diseases (CVDs). METHODS: There were 71,741 cases ranging from 20 to 80 years old r...

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Detalles Bibliográficos
Autores principales: Chang, Chiao-Hsiang, Lin, Chin-Sheng, Luo, Yu-Sheng, Lee, Yung-Tsai, Lin, Chin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860826/
https://www.ncbi.nlm.nih.gov/pubmed/35211522
http://dx.doi.org/10.3389/fcvm.2022.754909