Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference
With growing concerns that big data will only augment the problem of unreliable research, the Laboratory of Computational Physiology at the Massachusetts Institute of Technology organized the Critical Data Conference in January 2014. Thought leaders from academia, government, and industry across dis...
Main Authors: | Badawi, Omar (Author), Brennan, Thomas Patrick (Contributor), Celi, Leo Anthony G. (Contributor), Feng, Mengling (Contributor), Ghassemi, Marzyeh (Contributor), Ippolito, Andrea (Author), Johnson, Alistair (Author), Mayaud, Louis (Author), Moody, George B. (Author), Moses, Christopher (Author), Naumann, Tristan Josef (Author), Nikore, Vipan (Author), Pimentel, Marco (Author), Pollard, Tom J. (Author), Santos, Mauro (Author), Stone, David J. (Author), Zimolzak, Andrew (Author), Mark, Roger G (Author) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Mark, Roger Greenwood (Contributor), Naumann, Tristan (Contributor) |
Format: | Article |
Language: | English |
Published: |
JMIR Publications,
2015-01-23T16:17:03Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference
by: Badawi, Omar, et al.
Published: (2014-08-01) -
Metadata Correction: Making Big Data Useful for Health Care: A Summary of the Inaugural MIT Critical Data Conference
by: Badawi, Omar, et al.
Published: (2015-01-01) -
State of the art review: the data revolution in critical care
by: Ghassemi, Marzyeh, et al.
Published: (2016) -
The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data
by: Citi, Luca, et al.
Published: (2019) -
A multivariate timeseries modeling approach to severity of illness assessment and forecasting in ICU with sparse, heterogeneous clinical data
by: Pimentel, Marco A. F., et al.
Published: (2017)