Autor según el artículo: Maaroof, Najlaa; Moreno, Antonio; Valls, Aida; Jabreel, Mohammed; Szelag, Marcin
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: Moreno Ribas, Antonio / Valls Mateu, Aïda
Palabras clave: Machine learning Fuzzy rules Explainable ai Dominance-based rough set approach Diabetic retinopathy Decision-support-system machine learning fuzzy rules dominance-based rough set approach diabetic retinopathy
Resumen: Understanding the reasons behind the decisions of complex intelligent systems is crucial in many domains, especially in healthcare. Local explanation models analyse a decision on a single instance, by using the responses of the system to the points in its neighbourhood to build a surrogate model. This work makes a comparative analysis of the local explanations provided by two rule-based explanation methods on RETIPROGRAM, a system based on a fuzzy random forest that analyses the health record of a diabetic person to assess his/her degree of risk of developing diabetic retinopathy. The analysed explanation methods are C-LORE-F (a variant of LORE that builds a decision tree) and DRSA (a method based on rough sets that builds a set of rules). The explored methods gave good results in several metrics, although there is room for improvement in the generation of counterfactual examples.
Áreas temáticas: Química Process chemistry and technology Physics, applied Materials science, multidisciplinary Materials science (miscellaneous) Materials science (all) Materiais Instrumentation General materials science General engineering Fluid flow and transfer processes Engineering, multidisciplinary Engineering (miscellaneous) Engineering (all) Engenharias ii Engenharias i Computer science applications Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências agrárias i Ciência de alimentos Chemistry, multidisciplinary Biodiversidade Astronomia / física
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: antonio.moreno@urv.cat aida.valls@urv.cat
Identificador del autor: 0000-0003-3945-2314 0000-0003-3616-7809
Fecha de alta del registro: 2024-10-12
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.mdpi.com/2076-3417/12/7/3358
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Applied Sciences-Basel. 12 (7): 3358-
Referencia de l'ítem segons les normes APA: Maaroof, Najlaa; Moreno, Antonio; Valls, Aida; Jabreel, Mohammed; Szelag, Marcin (2022). A Comparative Study of Two Rule-Based Explanation Methods for Diabetic Retinopathy Risk Assessment. Applied Sciences-Basel, 12(7), 3358-. DOI: 10.3390/app12073358
DOI del artículo: 10.3390/app12073358
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2022
Tipo de publicación: Journal Publications
Repositori URV