A Systematic Literature Review: Role of AI Algorithms for Automated Diagnosis of Diabetic Cardiac Autonomic Neuropathy [DCAN]

Mayura Nagar, Pooja Raundale, Ahsan Khandoker, Herbert Jelinek

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Cardiac autonomic neuropathy (CAN) is one of the most serious complications of diabetes known as DCAN. It is a complexity of Diabetes Mellitus (DM) that is allied with extended hazards of cardiovascular mortality. The management along with early detection of DCAN is significant as early intervention can forestall further disease progression. At present, the Ewing battery is the standard clinical method for assessing DCAN. However, it cannot distinguish sub-clinical CAN and it also requires patient cooperation. In this paper, a systematic literature review has been represented which focuses on information-digging strategies in consideration of AI technologies. In this paper, various strategies, methods, and algorithms are compared and represented with their results which are used for Classification, Automated Diagnosis, Detection, and Early prediction of DCAN tasks.

Original languageBritish English
Title of host publicationProceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages669-673
Number of pages5
ISBN (Electronic)9789380544441
DOIs
StatePublished - 2022
Event9th International Conference on Computing for Sustainable Global Development, INDIACom 2022 - New Delhi, India
Duration: 23 Mar 202225 Mar 2022

Publication series

NameProceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022

Conference

Conference9th International Conference on Computing for Sustainable Global Development, INDIACom 2022
Country/TerritoryIndia
CityNew Delhi
Period23/03/2225/03/22

Keywords

  • AI technologies
  • Automated detection
  • Cardiac autonomic neuropathy
  • data mining
  • Deep Learning
  • Diabetes
  • diabetes complications
  • machine learning

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