A spatio-temporal multi-modal data management and analysis environment for tracking MS lesions

T. Steinberg, Yuhang Wang, F. Makedon, Li Shen, Andrew Saykin, H. Wishart

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

1 Scopus citations

Abstract

We describe the development of a system that automates data collection, metadata extraction and analysis of spatio-temporal multi-modal data, combining data management and data analysis to provide an efficient resource for clinicians. Though the system is extensible to many applications, the current focus is on managing Multiple Sclerosis (MS) lesion data, which are disparate streams of image, numeric, and text data. In order to discover patterns of MS pathology and plan early and effective treatment, multispectral magnetic resonance (MR) image streams collected over time need to be correlated efficiently with each other and with patient performance and clinical data streams.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
PublisherIEEE Computer Society
Pages245-246
Number of pages2
Volume2003-January
ISBN (Print)0769519644
DOIs
StatePublished - 2003
Externally publishedYes
Event15th International Conference on Scientific and Statistical Database Management, SSDBM 2003 - Cambridge, United States
Duration: Jul 9 2003Jul 11 2003

Other

Other15th International Conference on Scientific and Statistical Database Management, SSDBM 2003
CountryUnited States
CityCambridge
Period7/9/037/11/03

Keywords

  • Data analysis
  • Data mining
  • Environmental management
  • Lesions
  • Magnetic resonance
  • Medical treatment
  • Multiple sclerosis
  • Pathology
  • Resource management
  • Streaming media

ASJC Scopus subject areas

  • Software
  • Information Systems

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  • Cite this

    Steinberg, T., Wang, Y., Makedon, F., Shen, L., Saykin, A., & Wishart, H. (2003). A spatio-temporal multi-modal data management and analysis environment for tracking MS lesions. In Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM (Vol. 2003-January, pp. 245-246). [1214988] IEEE Computer Society. https://doi.org/10.1109/SSDM.2003.1214988