empowering personalized medicine with big data and semantic web technology promises, challenges, an - دانلود رایگان
دانلود رایگان Empowering Personalized Medicine with Big Data and Semantic Web Technology: Promises, Challenges, and Use Cases
دانلود رایگان In healthcare, big data tools and technologies havethe potential to create significant value by improving outcomeswhile lowering costs for each individual patient. Diagnosticimages, genetic test results and biometric information areincreasingly generated and stored in electronic health recordspresenting us with challenges in data that is by nature highvolume, variety and velocity, thereby necessitating novel waysto store, manage and process big data. This presents an urgentneed to develop new, scalable and expandable big data infrastructureand analytical methods that can enable healthcareproviders access knowledge for the individual patient, yieldingbetter decisions and outcomes.In this paper, we briefly discuss the nature of big data andthe role of semantic web and data analysis for generating“smart data” which offer actionable information that supportsbetter decision for personalized medicine. In our view, thebiggest challenge is to create a system that makes big datarobust and smart for healthcare providers and patients thatcan lead to more effective clinical decision-making, improvedhealth outcomes, and ultimately, managing the healthcare costs.We highlight some of the challenges in using big data andpropose the need for a semantic data-driven environment toaddress them. We illustrate our vision with practical use cases,and discuss a path for empowering personalized medicine usingbig data and semantic web technology.
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