Modelling irregular samples for analyzing the risk of complications of diabetes mellitus

Dongsoo S. Kim, James P. Walsh

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

2 Scopus citations

Abstract

In this paper, we describe a novel approach to approximate and estimate the risk of complications of diabetes mellitus under the assumption that blood glucose has a daily pattern, but data are irregularly sampled and highly dependent on other factors.

Original languageEnglish (US)
Title of host publicationProceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12
DOIs
StatePublished - May 8 2012
Event6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12 - Kuala Lumpur, Malaysia
Duration: Feb 20 2012Feb 22 2012

Publication series

NameProceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12

Other

Other6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12
CountryMalaysia
CityKuala Lumpur
Period2/20/122/22/12

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Keywords

  • Approximation
  • Diabetes
  • Modeling
  • Optimization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Kim, D. S., & Walsh, J. P. (2012). Modelling irregular samples for analyzing the risk of complications of diabetes mellitus. In Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12 [37] (Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12). https://doi.org/10.1145/2184751.2184797