Machine learning models using non-linear techniques improve the prediction of resting energy expenditure in individuals receiving hemodialysis

PURPOSE: Approximately 700,000 people in the USA have chronic kidney disease requiring dialysis. Protein-energy wasting (PEW), a condition of advanced catabolism, contributes to three-year survival rates of 50%. PEW occurs at all levels of Body Mass Index (BMI) but is devastating for those people at...

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Detalles Bibliográficos
Autores principales: Bailey, Alainn, Eltawil, Mohamed, Gohel, Suril, Byham-Gray, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Nutrition
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10392315/
https://www.ncbi.nlm.nih.gov/pubmed/37505893
http://dx.doi.org/10.1080/07853890.2023.2238182

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10392315/
https://www.ncbi.nlm.nih.gov/pubmed/37505893
http://dx.doi.org/10.1080/07853890.2023.2238182

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