Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data

BACKGROUND: Cardiopulmonary exercise testing (CPET) provides a reliable and reproducible approach to measuring fitness in patients and diagnosing their health problems. However, the data from CPET consist of multiple time series that require training to interpret. Part of this training teaches the u...

Descripción completa

Detalles Bibliográficos
Autores principales: Brown, Donald E., Sharma, Suchetha, Jablonski, James A., Weltman, Arthur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375280/
https://www.ncbi.nlm.nih.gov/pubmed/35964102
http://dx.doi.org/10.1186/s13040-022-00299-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375280/
https://www.ncbi.nlm.nih.gov/pubmed/35964102
http://dx.doi.org/10.1186/s13040-022-00299-6

Ejemplares similares