کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5697445 | 1410307 | 2017 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Métadonnées et leurs applications possibles en radiothérapie
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کلمات کلیدی
موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
تومور شناسی
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چکیده انگلیسی
The concept of big data indicates a change of scale in the use of data and data aggregation into large databases through improved computer technology. One of the current challenges in the creation of big data in the context of radiation therapy is the transformation of routine care items into dark data, i.e. data not yet collected, and the fusion of databases collecting different types of information (dose-volume histograms and toxicity data for example). Processes and infrastructures devoted to big data collection should not impact negatively on the doctor-patient relationship, the general process of care or the quality of the data collected. The use of big data requires a collective effort of physicians, physicists, software manufacturers and health authorities to create, organize and exploit big data in radiotherapy and, beyond, oncology. Big data involve a new culture to build an appropriate infrastructure legally and ethically. Processes and issues are discussed in this article.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Bulletin du Cancer - Volume 104, Issue 2, February 2017, Pages 147-156
Journal: Bulletin du Cancer - Volume 104, Issue 2, February 2017, Pages 147-156
نویسندگان
Sébastien Guihard, Juliette Thariat, Jean-Baptiste Clavier,