Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

This is a graduate-level course on theoretical aspects of Big Data. We will examine algorithms and data structures for dealing with massive data sets. We will discuss such topics as streaming ...

Algorithms are crucial in exploiting big data's power. They are a backbone, allowing meaningful analysis and insights from vast information. Applying algorithms to big meta reveals patterns, trends, ...

As big data takes a larger role in healthcare analytics, healthcare organizations may come to rely on algorithms, but some experts are questioning whether the algorithms should be overseen. A new ...

TWO YEARS ago, when Elinor Lobel was 16, a “smart” insulin pump was attached to her body. Powered by artificial intelligence (AI), it tracks her glucose levels and administers the right dose of ...

One of the most conspicuous examples of big data in action is Google’s data-aggregating tool Google Flu Trends (GFT). The program is designed to provide real-time monitoring of flu cases around the ...