MARC details
000 -LEADER |
fixed length control field |
01937nam a22002897a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240911130419.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
240910b |||||||| |||| 00| 0 hin d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781138633438 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
NISER LIBRARY |
Language of cataloging |
English |
Transcribing agency |
NISER LIBRARY |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
English |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
616-006 |
Item number |
DEN-B |
245 ## - TITLE STATEMENT |
Title |
Big data in radiation oncology |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc. |
New York : |
Name of publisher, distributor, etc. |
CRC Press, Taylor & Francis Group, |
Date of publication, distribution, etc. |
2019. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xx, 289p. |
490 ## - SERIES STATEMENT |
Series statement |
Imaging in medical diagnosis and therapy |
Volume/sequential designation |
30 |
520 ## - SUMMARY, ETC. |
Summary, etc. |
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. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Cancer |
General subdivision |
Radiotherapy |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Radiation Oncology |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data Mining |
General subdivision |
methods |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Big data |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Medical physics |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Deng, Jun |
Relator term |
ed. |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Xing, Lei |
Relator term |
ed. |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Materials specified |
Reviews |
Uniform Resource Identifier |
<a href="https://www.goodreads.com/book/show/34566693-big-data-in-radiation-oncology#CommunityReviews">https://www.goodreads.com/book/show/34566693-big-data-in-radiation-oncology#CommunityReviews</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Universal Decimal Classification |
Koha item type |
Book |