Author(s) Name: Jun Deng, Lei Xing
This book gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patientreported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. A final section envisions a futuristic health system and emerging models for cancer prevention and detection.
Table of Contents
1. Big data in radiation oncology: Opportunities and challenges
2. Data standardization and informatics in radiation oncology
3. Storage and databases for big data
4. Machine learning for radiation oncology
5. Cloud computing for big data
6. Big data statistical methods for radiation oncology
7. From model-driven to knowledge- and data-based treatment planning
8. Using big data to improve safety and quality in radiation oncology
9. Tracking organ doses for patient safety in radiation therapy
10. Big data and comparative effectiveness research in radiation oncology
11. Cancer registry and big data exchange
12. Clinical and cultural challenges of big data in radiation oncology
13. Radiogenomics
14. Radiomics and quantitative imaging
15. Radiotherapy outcomes modeling in the big data era
ISBN: 9781138633438
Publisher: CRC Press
Year of Publication: 2017
Book Link: Home Page Url
