Development of automated machine learning models in predicting colorectal adenoma in metabolic-associated steatotic liver disease

BackgroundMetabolic-associated steatotic liver disease (MASLD) is recognized as the most common chronic liver disease worldwide. Identification of colorectal adenoma in MASLD is crucial to enable patients to take necessary preventive colonoscopy screening and treatment earlier. The main objective of...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Lu Liu, Huixian Zhang, Ziyu Zhao, Chunfang Xu, Shuting Qu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-05-01
coleção:	Frontiers in Medicine
Assuntos:	clinical predictive models colorectal adenoma machine learning non-alcoholic fatty liver disease SHAP (Shapley Additive Explanations)
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fmed.2026.1852441/full
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!