The company we keep. Using hemodialysis social network data to classify patients’ kidney transplant attitudes with machine learning algorithms

BACKGROUND: Hemodialysis clinic patient social networks may reinforce positive and negative attitudes towards kidney transplantation. We examined whether a patient’s position within the hemodialysis clinic social network could improve machine learning classification of the patient’s positive or nega...

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Detalles Bibliográficos
Autores principales: Aljurbua, Rafaa, Gillespie, Avrum, Obradovic, Zoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798634/
https://www.ncbi.nlm.nih.gov/pubmed/36581930
http://dx.doi.org/10.1186/s12882-022-03049-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798634/
https://www.ncbi.nlm.nih.gov/pubmed/36581930
http://dx.doi.org/10.1186/s12882-022-03049-2

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