Development of Machine Learning Model for VO(2max) Estimation Using a Patch-Type Single-Lead ECG Monitoring Device in Lung Resection Candidates

A cardiopulmonary exercise test (CPET) is essential for lung resection. However, performing a CPET can be challenging. This study aimed to develop a machine learning model to estimate maximal oxygen consumption (VO(2max)) using data collected through a patch-type single-lead electrocardiogram (ECG)...

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Detalles Bibliográficos
Autores principales: Lee, Hyun Ah, Yu, Woosik, Choi, Jong Doo, Lee, Young-sin, Park, Ji Won, Jung, Yun Jung, Sheen, Seung Soo, Jung, Junho, Haam, Seokjin, Kim, Sang Hun, Park, Ji Eun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648477/
https://www.ncbi.nlm.nih.gov/pubmed/37958007
http://dx.doi.org/10.3390/healthcare11212863

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648477/
https://www.ncbi.nlm.nih.gov/pubmed/37958007
http://dx.doi.org/10.3390/healthcare11212863

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