Big data in radiation oncology
Material type:
TextLanguage: English Series: Imaging in medical diagnosis and therapy ; 30Publication details: New York : CRC Press, Taylor & Francis Group, 2019. Description: xx, 289pISBN: 9781138633438Subject(s): Cancer -- Radiotherapy | Radiation Oncology | Data Mining -- methods | Big data | Medical physicsDDC classification: 616-006 Online resources: Reviews Summary: Big Data in Radiation Oncology 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, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. This book offers the first focused treatment of the role of big data in the clinic and its impact on radiation therapy and covers applications in cancer registry, radiomics, patient safety, quality of care, treatment planning, decision making, and other key areas.It discusses the fundamental principles and techniques for processing and analysis of big data and address the use of big data in cancer prevention, detection, prognosis, and management. It provides practical guidance on implementation for clinicians and other stakeholders.
| Item type | Current library | Call number | Status | Date due | Barcode |
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CMRP Library | 616-006 DEN-B (Browse shelf(Opens below)) | Available | 25214 |
Big Data in Radiation Oncology 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, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. This book offers the first focused treatment of the role of big data in the clinic and its impact on radiation therapy and covers applications in cancer registry, radiomics, patient safety, quality of care, treatment planning, decision making, and other key areas.It discusses the fundamental principles and techniques for processing and analysis of big data and address the use of big data in cancer prevention, detection, prognosis, and management. It provides practical guidance on implementation for clinicians and other stakeholders.
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