[Crib-list] Jan 13: Interested in Unlocking the Power of Medical Big Data? (fwd)
Shirley Entzminger
daisymae at math.mit.edu
Mon Dec 8 08:18:27 EST 2014
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Subject: Jan 13: Interested in Unlocking the Power of Medical Big Data?
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Unlocking the Power of Medical Big Data
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.mit.edu) and Vijay
Gadepally (vijayg at csail.mit.edu).
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!
Please RSVP by emailing madden at csail.mit.edu and vijayg at csail.mit.edu
Location:
32-D463 (Stata Center, 4th Floor, Star Conference Room)
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