A Workshop: Unlocking the Power of Medical Big Data

On January 13, 2015, ISTC for Big Data researchers from MIT CSAIL will be leading a half-day workshop on using medical big data to improve medical diagnosis and treatment and to usher in a new generation of evidence-based medicine. The workshop may be of particular interest to students with backgrounds in signal processing, big data and biomedical engineering, but all with an interest are welcome to attend.

Unlocking the Power of Medical Big Data: A Workshop

Medical big data has the potential to transform the way we understand and treat medical conditions. Digitization of healthcare records, collection of data from sensors, and widespread aggregation and sharing of research presents great opportunities as well as great challenges. We are very interested in defining the systems, developing the science, and demonstrating the value of this data and how it can usher in a new generation of evidence-based medicine.

The Multi-parameter Intelligent Monitoring in Intensive Care (MIMIC) dataset is a large open source dataset collected from patients admitted to an Intensive Care Unit between 2001 and 2008. This dataset contains data such as physiological signals and comprehensive clinical data collected from medical information systems.  This dataset provides a glimpse into the challenges associated with medical big data such as data integrity and variety.

We are hosting a workshop to get like-minded people together. The goal of this workshop is to exchange ideas, come up with potential capstone/graduate projects, and learn more about the state of the art. Students with a background in signal processing, big data, and biomedical engineering will be ideally suited for the workshop (all are welcome!).  For students who are interested, we have funding available to support capstone or graduate level projects.

If you are interested in learning more about this work or attending the workshop please email Sam Madden (madden[at]csail[dot]mit[dot]edu) and Vijay Gadepally (vijayg[at]csail[dot]mit[dot]edu).

From left: Workshop leaders Vijay Gadepally and Sam Madden of MIT CSAIL and Mornin’ Feng of the MIT Laboratory of Computational Physiology.

Agenda

1)    Introduction and Welcome – Vijay Gadepally and Sam Madden (15min)

2)    About the Program – Sam Madden (30min)

3)    About MIMIC II Dataset/Current Research Efforts – Mornin’ Feng (60 min)

4)    SciDB – Paradigm4 (30min)

5)    Project Ideas – Vijay Gadepally (30min)

6)    Group discussion – All  (60 min)

7)    Feedback and closing (15min)

Date and Time

January 13, 2015, 12:30-5pm

Food will be provided

Location

MIT CSAIL, 32 Vassar Street, Cambridge, Mass., Room 32-D463 (Stata Center, 4th Floor, Star Conference Room)

RSVP

Please RSVP by emailing madden[at]csail[dot]mit[dot]edu and vijayg[at]csail[dot]mit[dot]edu

This entry was posted in Big Data Applications, ISTC for Big Data Blog and tagged , , . Bookmark the permalink.

Leave A Reply

Your email address will not be published. Required fields are marked *


+ 8 = twelve