Predicting the survival of kidney transplantation: design and evaluation of a smartphone-based application

BACKGROUND: Prediction of graft survival for Kidney Transplantation (KT) is considered a risky task due to the scarcity of donating organs and the use of health care resources. The present study aimed to design and evaluate a smartphone-based application to predict the survival of KT in patients wit...

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Detalles Bibliográficos
Autores principales: Shahmoradi, Leila, Borhani, Alireza, Langarizadeh, Mostafa, Pourmand, Gholamreza, fard, Ziba Aghsaei, Rezayi, Sorayya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210621/
https://www.ncbi.nlm.nih.gov/pubmed/35729490
http://dx.doi.org/10.1186/s12882-022-02841-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9210621/
https://www.ncbi.nlm.nih.gov/pubmed/35729490
http://dx.doi.org/10.1186/s12882-022-02841-4

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