Machine learning-based diagnosis and prognosis of IgAN: A systematic review and meta-analysis

Purpose: Plenty of studies have explored the diagnosis and prognosis of IgA nephropathy (IgAN) based on machine learning (ML), but the accuracy lacks the support of evidence-based medical evidence. We aim at this problem to guide the precision treatment of IgAN. Methods: Embase, Pubmed, Cochrane Lib...

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Detalhes bibliográficos

Principais autores:	Kaiting Zhuang, Wenjuan Wang, Cheng Xu, Xinru Guo, Xuejing Ren, Yanjun Liang, Zhiyu Duan, Yanqi Song, Yifan Zhang, Guangyan Cai
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-06-01
Colecção:	Heliyon
Assuntos:	Machine learning (ML) Prognosis Diagnosis IgAN Meta-analysis Systematic review
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2405844024091217
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