An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder

Shamim Al Mamun; M. Shamim Kaiser; Mufti Mahmud

doi:10.1007/978-3-030-86993-9_15

An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder

Shamim Al Mamun^*, M. Shamim Kaiser, Mufti Mahmud

^*Corresponding author for this work

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

32 Scopus citations

Abstract

Face detection and sparse facial feature analysis is popular as a non-invasive approach to diagnosis special disease. In futuristic intelligent healthcare system, the confined way of preliminary computer aided diagnosis of diseases becoming more inclusive and faster than usual time. Therefore, face spacial feature analysis can be an elegant way of measuring attempt in tele-medicine industry. In this research paper, we investigate thorough review on disease diagnosis techniques, healthcare management and, data security features being used currently. Moreover, this work propose a i-health care monitoring and examining system of neuronal/brain disorder in layer base approach. Overall, this paper reviews about diseases which have already been detected by spacial feature of face using deep learning algorithm or feature based learning with a proposal of a monitoring system with its research area and challenges in smart intelligent healthcare system in society 5.0.

Original language	English
Title of host publication	Brain Informatics - 14th International Conference, BI 2021, Proceedings
Editors	Mufti Mahmud, M Shamim Kaiser, Stefano Vassanelli, Qionghai Dai, Ning Zhong
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	157-169
Number of pages	13
ISBN (Print)	9783030869922
DOIs	https://doi.org/10.1007/978-3-030-86993-9_15
State	Published - 2021
Externally published	Yes
Event	14th International Conference on Brain Informatics, BI 2021 - Virtual, Online Duration: 17 Sep 2021 → 19 Sep 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12960 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Brain Informatics, BI 2021
City	Virtual, Online
Period	17/09/21 → 19/09/21

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

Cloud system
Deep learning
Face detection
Features

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-86993-9_15

Cite this

Al Mamun, S., Kaiser, M. S., & Mahmud, M. (2021). An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder. In M. Mahmud, M. S. Kaiser, S. Vassanelli, Q. Dai, & N. Zhong (Eds.), Brain Informatics - 14th International Conference, BI 2021, Proceedings (pp. 157-169). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12960 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-86993-9_15

Al Mamun, Shamim ; Kaiser, M. Shamim ; Mahmud, Mufti. / An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0 : A Perspective on Brain Disorder. Brain Informatics - 14th International Conference, BI 2021, Proceedings. editor / Mufti Mahmud ; M Shamim Kaiser ; Stefano Vassanelli ; Qionghai Dai ; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2021. pp. 157-169 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Face detection and sparse facial feature analysis is popular as a non-invasive approach to diagnosis special disease. In futuristic intelligent healthcare system, the confined way of preliminary computer aided diagnosis of diseases becoming more inclusive and faster than usual time. Therefore, face spacial feature analysis can be an elegant way of measuring attempt in tele-medicine industry. In this research paper, we investigate thorough review on disease diagnosis techniques, healthcare management and, data security features being used currently. Moreover, this work propose a i-health care monitoring and examining system of neuronal/brain disorder in layer base approach. Overall, this paper reviews about diseases which have already been detected by spacial feature of face using deep learning algorithm or feature based learning with a proposal of a monitoring system with its research area and challenges in smart intelligent healthcare system in society 5.0.",

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Al Mamun, S, Kaiser, MS & Mahmud, M 2021, An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder. in M Mahmud, MS Kaiser, S Vassanelli, Q Dai & N Zhong (eds), Brain Informatics - 14th International Conference, BI 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12960 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 157-169, 14th International Conference on Brain Informatics, BI 2021, Virtual, Online, 17/09/21. https://doi.org/10.1007/978-3-030-86993-9_15

An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder. / Al Mamun, Shamim; Kaiser, M. Shamim; Mahmud, Mufti.
Brain Informatics - 14th International Conference, BI 2021, Proceedings. ed. / Mufti Mahmud; M Shamim Kaiser; Stefano Vassanelli; Qionghai Dai; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2021. p. 157-169 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12960 LNAI).

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

TY - GEN

T1 - An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0

T2 - 14th International Conference on Brain Informatics, BI 2021

AU - Al Mamun, Shamim

AU - Kaiser, M. Shamim

AU - Mahmud, Mufti

PY - 2021

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N2 - Face detection and sparse facial feature analysis is popular as a non-invasive approach to diagnosis special disease. In futuristic intelligent healthcare system, the confined way of preliminary computer aided diagnosis of diseases becoming more inclusive and faster than usual time. Therefore, face spacial feature analysis can be an elegant way of measuring attempt in tele-medicine industry. In this research paper, we investigate thorough review on disease diagnosis techniques, healthcare management and, data security features being used currently. Moreover, this work propose a i-health care monitoring and examining system of neuronal/brain disorder in layer base approach. Overall, this paper reviews about diseases which have already been detected by spacial feature of face using deep learning algorithm or feature based learning with a proposal of a monitoring system with its research area and challenges in smart intelligent healthcare system in society 5.0.

AB - Face detection and sparse facial feature analysis is popular as a non-invasive approach to diagnosis special disease. In futuristic intelligent healthcare system, the confined way of preliminary computer aided diagnosis of diseases becoming more inclusive and faster than usual time. Therefore, face spacial feature analysis can be an elegant way of measuring attempt in tele-medicine industry. In this research paper, we investigate thorough review on disease diagnosis techniques, healthcare management and, data security features being used currently. Moreover, this work propose a i-health care monitoring and examining system of neuronal/brain disorder in layer base approach. Overall, this paper reviews about diseases which have already been detected by spacial feature of face using deep learning algorithm or feature based learning with a proposal of a monitoring system with its research area and challenges in smart intelligent healthcare system in society 5.0.

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A2 - Mahmud, Mufti

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ER -

Al Mamun S, Kaiser MS, Mahmud M. An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder. In Mahmud M, Kaiser MS, Vassanelli S, Dai Q, Zhong N, editors, Brain Informatics - 14th International Conference, BI 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 157-169. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-86993-9_15

An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this