Autor segons l'article: Maaroof, Najlaa; Moreno, Antonio; Valls, Aida; Jabreel, Mohammed; Szelag, Marcin
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Moreno Ribas, Antonio / Valls Mateu, Aïda
Paraules clau: 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
Resum: 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.
Àrees temàtiques: 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
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: antonio.moreno@urv.cat aida.valls@urv.cat
Identificador de l'autor: 0000-0003-3945-2314 0000-0003-3616-7809
Data d'alta del registre: 2024-10-12
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.mdpi.com/2076-3417/12/7/3358
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Applied Sciences-Basel. 12 (7): 3358-
Referència 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 de l'article: 10.3390/app12073358
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2022
Tipus de publicació: Journal Publications
Repositori URV