Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms

Background: Interstitial fibrosis and tubular atrophy (IFTA) are the histopathological manifestations of chronic kidney disease (CKD) and one of the causes of long-term renal loss in transplanted kidneys. Necroptosis as a type of programmed death plays an important role in the development of IFTA, a...

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Detalhes bibliográficos

Principais autores:	Yu Yin, Congcong Chen, Dong Zhang, Qianguang Han, Zijie Wang, Zhengkai Huang, Hao Chen, Li Sun, Shuang Fei, Jun Tao, Zhijian Han, Ruoyun Tan, Min Gu, Xiaobing Ju
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2023-11-01
coleção:	Frontiers in Genetics
Assuntos:	interstitial fibrosis and tubular atrophy kidney transplantation machine learning algorithms fibrosis diagnosis model
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fgene.2023.1276963/full
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