Closing the data loop: An integrated open access analysis platform for the MIMIC database

Mohammad Adibuzzaman, Ken Musselman, Alistair Johnson, Paul Brown, Zachary Pitluk, Ananth Grama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

We describe a new model for collaborative access, exploration, and analyses of the Medical Information Mart for Intensive Care - III (MIMIC III) database for translational clinical research. The proposed model addresses the significant disconnect between data collection at the point of care and translational clinical research. It addresses problems of data integration, preprocessing, normalization, analyses (along with associated compute back-end), and visualization. The proposed platform is general, and can be easily adapted to other databases. The pre-packaged analyses toolkit is easily extensible, and allows for multi-language support. The platform can be easily federated, mirrored at other locations, and supports a RESTful API for service composition and scaling.

Original languageEnglish (US)
Title of host publicationComputing in Cardiology Conference, CinC 2016
EditorsAlan Murray
PublisherIEEE Computer Society
Pages137-140
Number of pages4
ISBN (Electronic)9781509008964
DOIs
StatePublished - Mar 1 2016
Externally publishedYes
Event43rd Computing in Cardiology Conference, CinC 2016 - Vancouver, Canada
Duration: Sep 11 2016Sep 14 2016

Publication series

NameComputing in Cardiology
Volume43
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Other

Other43rd Computing in Cardiology Conference, CinC 2016
Country/TerritoryCanada
CityVancouver
Period9/11/169/14/16

ASJC Scopus subject areas

  • General Computer Science
  • Cardiology and Cardiovascular Medicine

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