A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and Validation

OBJECTIVE: At present, there is no consensus on the best strategy for interpreting the cardiopulmonary exercise test's (CPET) results. This study is aimed at assessing the potential of using computer-aided algorithms to evaluate CPET data for identifying chronic heart failure (CHF) and chronic...

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Detalles Bibliográficos
Autores principales: Inbar, Or, Inbar, Omri, Reuveny, Ronen, Segel, Michael J., Greenspan, Hayit, Scheinowitz, Mickey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188599/
https://www.ncbi.nlm.nih.gov/pubmed/34158976
http://dx.doi.org/10.1155/2021/5516248

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188599/
https://www.ncbi.nlm.nih.gov/pubmed/34158976
http://dx.doi.org/10.1155/2021/5516248

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