Data Mining, Machine Learning and Network Analysis in Biomedical Informatics
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E3: Mathematical Biology".
Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 3219
Special Issue Editors
Interests: digital image processing; bioinformatics; discrete geometry; big data
Special Issue Information
Dear Colleagues,
Exploiting data assets with advanced techniques, especially artificial intelligence, is expected to dominate all disciplines, including biomedicine. In addition to their potential to be further developed with appropriate theoretical tools, machine learning-based models can also improve the accuracy of theoretical models by further adopting observed data. This Special Issue aims to present new advances in biomedical informatics, particularly for the better exploitation of biological and clinical data resources for the more efficient operation and development of biomedical informatics systems to improve healthcare solutions.
This Special Issue focuses on, but is not limited to, optimizing or replacing theoretical models with machine learning ones regarding any component of a biomedical information system. In addition to deeper theoretical approaches, we intend to publish contributions that achieve new results with state-of-the-art artificial intelligence-based methods or more traditional data mining or machine learning ones. Within the biomedical field the scope is not limited.
Prof. Dr. Andras Hajdu
Dr. Balazs Harangi
Guest Editors
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Keywords
- artificial intelligence
- automated screening systems
- big data analysis
- clinical decision support
- computational systems
- data mining
- databases and datasets
- deep learning
- health informatics
- imaging, image, and signal processing
- machine learning
- modeling and simulation
- natural language processing
- network analysis
- optimization
- sensors and wearable systems
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