REAL WORLD EVIDENCE AND BIG DATA

Beyond big data: Identifying important information for real world challenges

Much of human inquiry today is focused on collecting massive quantities of data about complex systems, with the underlying assumption that more data leads to more insight into how to solve the challenges facing humanity. However, the questions we wish to address require identifying the impact of interventions on the behavior of a system, and to do this we must know which pieces of information a...

Reduced Topologically Real-World Networks: A Big-Data Approach

The topological and dynamical properties of real-world networks have attracted extensive research from a variety of multi-disciplinary fields. They, in fact, model typically big datasets which pose interesting challenges, due to their intrinsic size and complex interactions, as well as the dependencies between their different sub-parts. Therefore, defining networks based on such properties, is ...

Big Data, Small World

Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time. In this paper, we have discussed about the various characterstic’s of big data and how data is increasing day by day. There are various aspects of knowledge discovery that are discussed. Moreover, the small world phenomen...

Big data to smart data in Alzheimer's disease: Real-world examples of advanced modeling and simulation

Many disease-modifying clinical development programs in Alzheimer's disease (AD) have failed to date, and development of new and advanced preclinical models that generate actionable knowledge is desperately needed. This review reports on computer-based modeling and simulation approach as a powerful tool in AD research. Statistical data-analysis techniques can identify associations between certa...

Higher Education, Real Income And Real Investment In The Selected OIC Members: Evidence From ARDL And Panel Data Approaches