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

doi:10.23919/INDIACom54597.2022.9763159

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

Biomedical Engineering & Biotechnology

Sardar Patel Institute of Technology, Mumbai

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 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 language	British English
Title of host publication	Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	669-673
Number of pages	5
ISBN (Electronic)	9789380544441
DOIs	https://doi.org/10.23919/INDIACom54597.2022.9763159
State	Published - 2022
Event	9th International Conference on Computing for Sustainable Global Development, INDIACom 2022 - New Delhi, India Duration: 23 Mar 2022 → 25 Mar 2022

Publication series

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

Conference

Conference	9th International Conference on Computing for Sustainable Global Development, INDIACom 2022
Country/Territory	India
City	New Delhi
Period	23/03/22 → 25/03/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

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

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10.23919/INDIACom54597.2022.9763159

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Nagar, M., Raundale, P., Khandoker, A., & Jelinek, H. (2022). A Systematic Literature Review: Role of AI Algorithms for Automated Diagnosis of Diabetic Cardiac Autonomic Neuropathy [DCAN]. In Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022 (pp. 669-673). (Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/INDIACom54597.2022.9763159

Nagar, Mayura ; Raundale, Pooja ; Khandoker, Ahsan et al. / A Systematic Literature Review : Role of AI Algorithms for Automated Diagnosis of Diabetic Cardiac Autonomic Neuropathy [DCAN]. Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 669-673 (Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022).

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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.",

keywords = "AI technologies, Automated detection, Cardiac autonomic neuropathy, data mining, Deep Learning, Diabetes, diabetes complications, machine learning",

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Nagar, M, Raundale, P, Khandoker, A & Jelinek, H 2022, A Systematic Literature Review: Role of AI Algorithms for Automated Diagnosis of Diabetic Cardiac Autonomic Neuropathy [DCAN]. in Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022. Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022, Institute of Electrical and Electronics Engineers Inc., pp. 669-673, 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022, New Delhi, India, 23/03/22. https://doi.org/10.23919/INDIACom54597.2022.9763159

A Systematic Literature Review: Role of AI Algorithms for Automated Diagnosis of Diabetic Cardiac Autonomic Neuropathy [DCAN]. / Nagar, Mayura; Raundale, Pooja; Khandoker, Ahsan et al.
Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 669-673 (Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Nagar M, Raundale P, Khandoker A , Jelinek H. A Systematic Literature Review: Role of AI Algorithms for Automated Diagnosis of Diabetic Cardiac Autonomic Neuropathy [DCAN]. In Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 669-673. (Proceedings of the 2022 9th International Conference on Computing for Sustainable Global Development, INDIACom 2022). doi: 10.23919/INDIACom54597.2022.9763159

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

Abstract

Publication series

Conference

UN SDGs

Keywords

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