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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Lu Liu, Huixian Zhang, Ziyu Zhao, Chunfang Xu, Shuting Qu
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Frontiers Media S.A. 2026-05-01
سلاسل:	Frontiers in Medicine
الموضوعات:	clinical predictive models colorectal adenoma machine learning non-alcoholic fatty liver disease SHAP (Shapley Additive Explanations)
الوصول للمادة أونلاين:	https://www.frontiersin.org/articles/10.3389/fmed.2026.1852441/full
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!