M. May, Big biological impacts from big data, Science. doi:10.1126/science. opms.p1400086.May, M. 2014. Big biological impacts from Big Data. Science 344: 1298-1300.May M. Life Science Technologies: Big biological impacts from big data. Science. 2014; : 10.1126/science....
Big biological impacts from big data May, M. 2014. Big biological impacts from Big Data. Science 344: 1298-1300.May M. Life Science Technologies: Big biological impacts from big data. Science. 2014; : 10.1126/science.opms.p1400086 ... Mike,May - 《Science》 被引量:...
17 May M: Life Science Technologies: big biological impacts from Big Data. Science 2014; 344: 1298–1300. 18 Wang W, Krishnan E: Big Data and clinicians: a review on the state of the science. JMIR Med Informatics 2014; 2: e1. 19 Jensen PB, Jensen LJ, Brunak S: Mining electronic ...
Briefly, we employed the UK Biobank archive (n = 502,627 cases and k = 4,316 features) with demographic, clinical, biological specimen, imaging, genomic, and questionnaire data elements. We used the structural magnetic resonance imaging data (sMRI) to obtain 3,297 derived ...
Aggregated community-scale data could be harnessed to provide insights into the disparate impacts of managed power outages, burst pipes, and food inaccessibility during extreme weather events. During the winter storm that brought historically low tempera
defined “health big data” as a large and diverse collection of biological, clinical, environmental, and lifestyle information related to an individual’s health and health status [29]. This paper highlights that the main elements of big data assets in healthcare institutions are the completeness...
Understand which topics are already generating the most revene; and measure ROI for the effort. Understand Audience Value Discover in granular detail how your audience interacts with your content and how that impacts revenue. Gain access toexclusive Premium features ...
Moreover, understanding these interactions requires the observation, analysis and integration of knowledge of subsystems of very different nature, for example biological, climate, soil and water subsystems. The complexity of describing, analysing and understanding such systems and the magnitude and ...
Leveraging big data analytics in healthcare decision making requires vetting the risk of people, processes, and systems. Today, healthcare decision making is poorly organized, inefficient, and largely siloed in operation, resulting in a disproportional disadvantage in quality of care for underserved pop...
Get advanced data analysis, from number crunching and spreadsheets to decision-support and strategy, including access to useful and practical Excel guidance. Plus, find out how big data is used and can benefit the accountancy profession.