TY  - GEN 
AU  - Paños-Basterra, Juan
AU  - Rivas, Jose M
AU  - Morcillo-Jimenez, Roberto
AU  - Fernández Basso, Carlos Jesús
AU  - Ruiz Jiménez, María Dolores
AU  - Martín Bautista, María José
PY  - 2025
UR  - https://hdl.handle.net/10481/104640
AB  - This article examines some of the most relevant algorithms for association rule mining in a medical context, within the framework of unsupervised Federated Learning (FL) in a simulated environment. Unlike traditional algorithms that rely on...
LA  - eng
PB  - IEEE
KW  - Itemsets
KW  - Machine learning algorithms
KW  - Bioinformatics
KW  - Proposals
KW  - Federated learning
KW  - Vocteors
KW  - MEdical services
KW  - Data privacy
TI  - Comparative Analysis of Federated Association Rules in a Simulated Environment for Medical Applications
DO  - 10.1109/JBHI.2025.3564546
ER  -