The role of computational, multiscale models in behavioral informatics

Misha Pavel

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

Abstract

This presentation describes the use of computational, predictive models in behavioral informatics for monitoring, assessment, inference and modification of human behaviors. This ambitious goals is possible due to a confluence of advances in sensor network technology machine learning and data science. The approach is illustrated on a number of examples involving care for older adults.

Original languageEnglish (US)
Title of host publication2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
PublisherIEEE Computer Society
Pages813-816
Number of pages4
ISBN (Print)9781479921317
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014 - Valencia, Spain
Duration: Jun 1 2014Jun 4 2014

Publication series

Name2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014

Other

Other2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
CountrySpain
CityValencia
Period6/1/146/4/14

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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  • Cite this

    Pavel, M. (2014). The role of computational, multiscale models in behavioral informatics. In 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014 (pp. 813-816). [6864488] (2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014). IEEE Computer Society. https://doi.org/10.1109/BHI.2014.6864488