A predictive machine-learning model for clinical decision-making in washed microbiota transplantation on ulcerative colitis

Background and Aim: Machine learning based on clinical data and treatment protocols for better clinical decision-making is a current research hotspot. This study aimed to build a machine learning model on washed microbiota transplantation (WMT) for ulcerative colitis (UC), providing patients and cli...

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Detalhes bibliográficos

Principais autores:	Sheng Zhang, Gaochen Lu, Weihong Wang, Qianqian Li, Rui Wang, Zulun Zhang, Xia Wu, Chenchen Liang, Yujie Liu, Pan Li, Quan Wen, Bota Cui, Faming Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-12-01
coleção:	Computational and Structural Biotechnology Journal
Assuntos:	Fecal microbiota transplant Machine learning Ulcerative colitis Clinical indicator
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2001037024002800
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