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Special Issue "Machine Learning Methods for Biomedical Data Analysis".

Authors :
Caiafa, Cesar F.
Sun, Zhe
Tanaka, Toshihisa
Marti-Puig, Pere
Solé-Casals, Jordi
Source :
Sensors (14248220); Dec2023, Vol. 23 Issue 23, p9377, 4p
Publication Year :
2023

Abstract

This document is an editorial introducing a special issue of the journal Sensors on the topic of "Machine Learning Methods for Biomedical Data Analysis." The editorial highlights the importance of machine learning in analyzing complex biomedical data and its applications in various areas such as medical decision making, radiological image segmentation, and track prediction for medical imaging. The special issue received submissions from researchers around the world, covering topics like biomedical diagnostics, biomedical care tools, health monitoring, industrial applications, and others. The editorial concludes by stating that the collection of papers provides a reference for the current state of the art and a starting point for future advanced methods in the field. [Extracted from the article]

Details

Language :
English
ISSN :
14248220
Volume :
23
Issue :
23
Database :
Complementary Index
Journal :
Sensors (14248220)
Publication Type :
Academic Journal
Accession number :
174112988
Full Text :
https://doi.org/10.3390/s23239377