Author, as appears in the article.: Maaroof, Najlaa; Moreno, Antonio; Valls, Aida; Jabreel, Mohammed; Szelag, Marcin
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: Moreno Ribas, Antonio / Valls Mateu, Aïda
Keywords: 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
Abstract: 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.
Thematic Areas: 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
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: antonio.moreno@urv.cat aida.valls@urv.cat
Author identifier: 0000-0003-3945-2314 0000-0003-3616-7809
Record's date: 2024-10-12
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.mdpi.com/2076-3417/12/7/3358
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: Applied Sciences-Basel. 12 (7): 3358-
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
Article's DOI: 10.3390/app12073358
Entity: Universitat Rovira i Virgili
Journal publication year: 2022
Publication Type: Journal Publications
Repositori URV