Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8210743 | International Journal of Radiation Oncology*Biology*Physics | 2018 | 23 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Radiation
Authors
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,