Tag Archives: MIMIC II

Improving Clinical Decision-Making with Big Data

An Interview with Peter Szolovits, MIT CSAIL Doctors, nurses and other healthcare professionals have always had to “read” and respond quickly to often-imperfect data under stressful circumstances. What has changed over time is the volume and types of data that … Continue reading

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ISTC Releases Open Source Code for BigDAWG Polystore System

By Dr. Tim Mattson, Intel and Dr. Vijay Gadepally and Kyle O’Brien, MIT Lincoln Laboratory Today, the ISTC for Big Data released the first version of BigDAWG, our polystore system for simplifying integration and analytics of disparate data at scale. BigDAWG is … Continue reading

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ISTC for Big Data 2016 Research Highlights

In 2016, ISTC for Big Data principal investigators, researchers and their students continued to break down the barriers to data analytics at scale, with creative new approaches and infrastructure software. Developments are being integrated into BigDAWG, the next-generation polystore architecture … Continue reading

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Interactive Search and Exploration over Large Multidimensional Data

by Alexander Kalinin, Ugur Cetintemel and Stan Zdonik of Brown University In the Big Data era, professionals across scientific areas need efficient, interactive ad-hoc data analysis. Ideally, they need generic and reusable systems tools for interactive search, exploration and mining … Continue reading

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Rethinking Streaming: Correct State Matters!

by Nesime Tatbul, Intel Labs and MIT CSAIL; Kristin Tufte, Portland State University; and Stan Zdonik, Brown University Stream processing has largely been thought of as real-time analytics. Data enters the system as streams and analytic functions (aggregates) are computed on the … Continue reading

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Pushing the Boundaries of Visual Interactive Analytics

  As the volume, variety and velocity of data grow, data analysts struggle with asking and answering big questions of the data – even with the availability of increasingly sophisticated data visualization tools. It takes far too long for analysts … Continue reading

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Medical Big Data Workshop Draws Computer Scientists, Clinicians

by Vijay Gadepally, MIT CSAIL and MIT Lincoln Laboratory Computer scientists and clinical researchers gathered at MIT CSAIL January 13 to participate in a half-day workshop and brainstorm new data sets and software to improve data-driven diagnosis and treatment. The … Continue reading

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