Proposing the deep dynamic Bayesian network as a future computer based medical system

Caoimhe M. Carbery, Adele H. Marshall, Roger Woods

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

1 Citation (Scopus)
482 Downloads (Pure)

Abstract

The development of new learning models has been of great importance throughout recent years, with a focus on creating advances in the area of deep learning. Deep learning was first noted in 2006, and has since become a major area of research in a number of disciplines. This paper will delve into the area of deep learning to present its current limitations and provide a new idea for a fully integrated deep and dynamic probabilistic system. The new model will be applicable to a vast number of areas initially focusing on applications into medical image analysis with an overall goal of utilising this approach for prediction purposes in computer based medical systems.

Original languageEnglish
Title of host publicationProceedings - IEEE 29th International Symposium on Computer-Based Medical Systems, CBMS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages227-228
Number of pages2
ISBN (Electronic)9781467390361
DOIs
Publication statusPublished - 18 Aug 2016
Event29th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2016 - Belfast, United Kingdom
Duration: 20 Jun 201623 Jun 2016

Publication series

NameIEEE 29th International Symposium on Computer-Based Medical Systems (CBMS)
PublisherInstitute of Electrical and Electronics Engineers
ISSN (Print)2372=9198

Conference

Conference29th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2016
CountryUnited Kingdom
CityBelfast
Period20/06/201623/06/2016

Keywords

  • Deep learning
  • Dynamic Bayesian network
  • Medical systems
  • Probabilistic graphical model

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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  • Cite this

    Carbery, C. M., Marshall, A. H., & Woods, R. (2016). Proposing the deep dynamic Bayesian network as a future computer based medical system. In Proceedings - IEEE 29th International Symposium on Computer-Based Medical Systems, CBMS 2016 (pp. 227-228). [7545991] (IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBMS.2016.70