Prediction of Metastasis in Paragangliomas and Pheochromocytomas Using Machine Learning Models: Explainability Challenges

One of the main issues with paragangliomas and pheochromocytomas is that these tumors have up to a 20% rate of metastatic disease, which cannot be reliably predicted. While machine learning models hold great promise for enhancing predictive accuracy, their often opaque nature limits trust and adopti...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Carmen García-Barceló, David Gil, David Tomás, David Bernabeu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-07-01
coleção:	Sensors
Assuntos:	machine learning explainability data science classification feature selection tumor
Acesso em linha:	https://www.mdpi.com/1424-8220/25/13/4184
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!