Editorial Board for section 'Biomedical Information and Health'
- Information Systems Section
- Information Processes Section
- Information Theory and Methodology Section
- Information Applications Section
- Information and Communications Technology Section
- Artificial Intelligence Section
- Internet of Things (IoT) Section
- Information Security and Privacy Section
- Wireless Technologies Section
- Biomedical Information and Health Section
Please see the section webpage for more information on this section.
Please note that the order in which the Editors appear on this page is alphabetical, and follows the structure of the editorial board presented on the MDPI website under information for editors: editorial board responsibilities.
Members
Department of Electrical and Information Engineering, University of Cassino and southern Lazio, 03043 Cassino, FR, Italy
Interests: evolutionary computation; machine learning; feature selection; pattern recognition; bayesian networks; cultural heritage
Special Issues, Collections and Topics in MDPI journals
Interests: evolutionary computation; machine learning; feature selection; pattern recognition; bayesian networks; cultural heritage
Special Issues, Collections and Topics in MDPI journals
Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15206-3701, USA
Interests: hybrid machine learning; multimodal intelligence; biomedical data science; biomarker discovery; rule learning; educational technologies; early detection; precision medicine; pattern recognition from multimodal signals; risk assessment for management
Special Issues, Collections and Topics in MDPI journals
Interests: hybrid machine learning; multimodal intelligence; biomedical data science; biomarker discovery; rule learning; educational technologies; early detection; precision medicine; pattern recognition from multimodal signals; risk assessment for management
Special Issues, Collections and Topics in MDPI journals
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Interests: advanced system science and technology to improve industrial safety and human health; safety monitoring; fault detection; fault diagnosis; attack detection of industrial cyber-physical systems
Special Issues, Collections and Topics in MDPI journals
Interests: advanced system science and technology to improve industrial safety and human health; safety monitoring; fault detection; fault diagnosis; attack detection of industrial cyber-physical systems
Special Issues, Collections and Topics in MDPI journals
Department of Medicine, Section of Computational Biomedicine and Biomedical Data Science, University of Chicago, Chicago, IL, USA
Interests: computational biology; clinical data science; biomedical and health informatics; applied artificial intelligence; data mining; epidemiology
Special Issues, Collections and Topics in MDPI journals
Interests: computational biology; clinical data science; biomedical and health informatics; applied artificial intelligence; data mining; epidemiology
Special Issues, Collections and Topics in MDPI journals
1. Information Technologies Institute, Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece
2. Faculty of Pure and Applied Sciences, Open University of Cyprus, Nicosia 2236, Cyprus
Interests: medical informatics; digital health; artificial intelligence; mobile computing
Special Issues, Collections and Topics in MDPI journals
2. Faculty of Pure and Applied Sciences, Open University of Cyprus, Nicosia 2236, Cyprus
Interests: medical informatics; digital health; artificial intelligence; mobile computing
Special Issues, Collections and Topics in MDPI journals
Australian Institute for Machine Learning, University of Adelaide, North Terrace 5005, Australia
Interests: computer vision and data analytics in the healthcare sector; smart solutions to assist healthcare professionals in anatomical structure segmentation; disease diagnosis; therapy. R
Interests: computer vision and data analytics in the healthcare sector; smart solutions to assist healthcare professionals in anatomical structure segmentation; disease diagnosis; therapy. R
