CyberKnife and Data Mining
- Author(s)
- Jana Schwarzerova, Libor Stefek, Jiri Simpach, Lubomir Pavliska, Bogdan Walek, Lukas Evin, Valentýna Provazník, Wolfram Weckwerth, Stefan Reguli
- Abstract
The integration of data mining with precision medicine is transforming healthcare by uncovering novel clinical insights and enhancing treatment accuracy in patients undergoing CyberKnife therapy. This pilot study explores the potential of data mining to improve patient outcomes by identifying hidden patterns and relationships within clinical data. We apply various data mining techniques, including classification, regression, clustering, and association rule mining, to analyze patient records, diagnostic information, and treatment outcomes. Leveraging advanced algorithms, we aim to refine disease prediction, optimize treatment plans, and support personalized medicine. Preliminary results indicate promising applications in predicting treatment success, identifying risk factors, and streamlining clinical decision-making. This research contributes to bridging the gap between data mining analytics and precision healthcare, opening new possibilities for advancing radiotherapy practices.
- Organisation(s)
- Functional and Evolutionary Ecology
- External organisation(s)
- Department of Molecular and Clinical Pathology and Medical Genetics, Department of Molecular and Clinical Pathology and Medical Genetics, University Hospital Ostrava, Ostrava, Czechia., Brno University of Technology, University of Ostrava, Czech Institute of Informatics, Robotics and Cybernetics
- Pages
- 219-229
- No. of pages
- 11
- DOI
- https://doi.org/10.1007/978-3-032-08452-1_18
- Publication date
- 2026
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 302094 Precision medicine, 106007 Biostatistics, 102033 Data mining
- Keywords
- ASJC Scopus subject areas
- Theoretical Computer Science, General Computer Science
- Sustainable Development Goals
- SDG 3 - Good Health and Well-being
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/37ecda31-8e89-4ae7-acff-9689ea8e1a98