000			01937nam a22002897a 4500
003			OSt
005			20240911130419.0
008			240910b |||||||| |||| 00| 0 hin d
020			_a9781138633438
040			_aNISER LIBRARY _bEnglish _cNISER LIBRARY
041			_aEnglish
082			_a616-006 _bDEN-B
245			_aBig data in radiation oncology
260			_aNew York : _bCRC Press, Taylor & Francis Group, _c2019.
300			_axx, 289p.
490			_aImaging in medical diagnosis and therapy _v30
520			_aBig 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.
650			_aCancer _xRadiotherapy
650			_aRadiation Oncology
650			_aData Mining _xmethods
650			_aBig data
650			_aMedical physics
700			_aDeng, Jun _eed.
700			_aXing, Lei _eed.
856			_3Reviews _uhttps://www.goodreads.com/book/show/34566693-big-data-in-radiation-oncology#CommunityReviews
942			_2udc _cBK
999			_c35203 _d35203