Individual dynamic prediction and prognostic analysis for long-term allograft survival after kidney transplantation

BACKGROUND: Predicting allograft survival is vital for efficient transplant success. With dynamic changes in patient conditions, clinical indicators may change longitudinally, and doctors’ judgments may be highly variable. It is necessary to establish a dynamic model to precisely predict the individ...

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Detalles Bibliográficos
Autores principales: Huang, Baoyi, Huang, Mingli, Zhang, Chengfeng, Yu, Zhiyin, Hou, Yawen, Miao, Yun, Chen, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641958/
https://www.ncbi.nlm.nih.gov/pubmed/36344916
http://dx.doi.org/10.1186/s12882-022-02996-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641958/
https://www.ncbi.nlm.nih.gov/pubmed/36344916
http://dx.doi.org/10.1186/s12882-022-02996-0

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