کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8210743 | 1532974 | 2018 | 23 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using Big Data Analytics to Advance Precision Radiation Oncology
ترجمه فارسی عنوان
با استفاده از تجزیه و تحلیل داده های بزرگ برای پیشگیری از رادیولوژی دینامیک
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موضوعات مرتبط
مهندسی و علوم پایه
فیزیک و نجوم
تشعشع
چکیده انگلیسی
Big clinical data analytics as a primary component of precision medicine is discussed, identifying where these emerging tools fit in the spectrum of genomics and radiomics research. A learning health system (LHS) is conceptualized that uses clinically acquired data with machine learning to advance the initiatives of precision medicine. The LHS is comprehensive and can be used for clinical decision support, discovery, and hypothesis derivation. These developing uses can positively impact the ultimate management and therapeutic course for patients. The conceptual model for each use of clinical data, however, is different, and an overview of the implications is discussed. With advancements in technologies and culture to improve the efficiency, accuracy, and breadth of measurements of the patient condition, the concept of an LHS may be realized in precision radiation therapy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Radiation Oncology*Biology*Physics - Volume 101, Issue 2, 1 June 2018, Pages 285-291
Journal: International Journal of Radiation Oncology*Biology*Physics - Volume 101, Issue 2, 1 June 2018, Pages 285-291
نویسندگان
Todd R. PhD, Stanley H. PhD, Daniel A. PhD, Kevin PhD, Ilya PhD, Wei MS, Pranav MSE, Zhi MD MPH, Peijin MD MHS, Xuan MD ScM, Minoru PhD, Junghoon PhD, Joseph A. PhD, Scott P. PhD, Veeraj Shah, Russ PhD, Harry MD MS, John PhD, Theodore MD,