Special Issue “Machine Learning Methods for Biomedical Data Analysis”

Sensors (Nov 2023)

Affiliations

Cesar F. Caiafa: Instituto Argentino de Radioastronomía—CCT La Plata, CONICET/CIC-PBA/UNLP, V. Elisa 1894, Argentina
Zhe Sun: Computational Engineering Applications Unit, Head Office for Information Systems and Cybersecurity, RIKEN, Wako-Shi 351-0198, Japan
Toshihisa Tanaka: Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Tokyo 184-8588, Japan
Pere Marti-Puig: Data and Signal Processing Research Group, University of Vic-Central University of Catalonia, 08500 Vic, Catalonia, Spain
Jordi Solé-Casals: Data and Signal Processing Research Group, University of Vic-Central University of Catalonia, 08500 Vic, Catalonia, Spain

Abstract

Machine learning is an effective method for developing automatic algorithms for analysing sophisticated biomedical data [...]