2026-08-26T23:25:08Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1574762025-04-30T20:44:02Zcom_10366_156964com_10366_4512com_10366_3823col_10366_156965

Castellanos Garzón, José Antonio Mezquita Martín, Yeray Jaimes Sánchez, José Luis López García, Santiago Manuel Costa, Ernesto 2024-04-24T10:26:53Z 2024-04-24T10:26:53Z 2020-11-27 Castellanos Garzón, J. A., Mezquita Martín, Y. , Jaimes Sánchez, J. L., López García, S. M., & Costa, E. (2020). A genetic programming strategy to induce logical rules for clinical data analysis. Processes, 8(12), 1-23. https://doi.org/10.3390/PR8121565 2227-9717 http://hdl.handle.net/10366/157476 10.3390/pr8121565 [EN]This paper proposes a machine learning approach dealing with genetic programming to build classifiers through logical rule induction. In this context, we define and test a set of mutation operators across from different clinical datasets to improve the performance of the proposal for each dataset. The use of genetic programming for rule induction has generated interesting results in machine learning problems. Hence, genetic programming represents a flexible and powerful evolutionary technique for automatic generation of classifiers. Since logical rules disclose knowledge from the analyzed data, we use such knowledge to interpret the results and filter the most important features from clinical data as a process of knowledge discovery. The ultimate goal of this proposal is to provide the experts in the data domain with prior knowledge (as a guide) about the structure of the data and the rules found for each class, especially to track dichotomies and inequality. The results reached by our proposal on the involved datasets have been very promising when used in classification tasks and compared with other methods. eng http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional Clinical data Feature selection Genetic programming Machine learning Data mining Evolutionary computation A Genetic Programming Strategy to Induce Logical Rules for Clinical Data Analysis info:eu-repo/semantics/article