CyberKnife and Data Mining: Exploring Opportunities for Clinical Advancements

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0200049" target="_blank" >RIV/00216305:26220/26:0200049 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-032-08452-1_18" target="_blank" >http://dx.doi.org/10.1007/978-3-032-08452-1_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-032-08452-1_18" target="_blank" >10.1007/978-3-032-08452-1_18</a>

Result language
angličtina
Original language name
CyberKnife and Data Mining: Exploring Opportunities for Clinical Advancements
Original language description
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.
Czech name
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Czech description
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Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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