An XAI Based Autism Detection: The Context Behind the Detection

Milon Biswas; M. Shamim Kaiser; Mufti Mahmud; Shamim Al Mamun; Md Shahadat Hossain; Muhammad Arifur Rahman

doi:10.1007/978-3-030-86993-9_40

An XAI Based Autism Detection: The Context Behind the Detection

Milon Biswas
, M. Shamim Kaiser^*
, Mufti Mahmud
, Shamim Al Mamun
, Md Shahadat Hossain
, Muhammad Arifur Rahman

^*Corresponding author for this work

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

71 Scopus citations

Abstract

With the rapid growth of the Internet of Healthcare Things, a massive amount of data is generated by a broad variety of medical devices. Because of the complex relationship in large-scale healthcare data, researchers who bring a revolution in the healthcare industry embrace Artificial Intelligence (AI). In certain cases, it has been reported that AI can do better than humans at performing healthcare tasks. The data-driven black-box model, on the other hand, does not appeal to healthcare professionals as it is not transparent, and any biasing can hamper the performance the prediction model for the real-life operation. In this paper, we proposed an AI model for early detection of autism in children. Then we showed why AI with explainability is important. This paper provides examples focused on the Autism Spectrum Disorder dataset (Autism screening data for toddlers by Dr Fadi Fayez Thabtah) and discussed why explainability approaches should be used when using AI systems in healthcare.

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	448-459
Number of pages	12
ISBN (Print)	9783030869922
DOIs	https://doi.org/10.1007/978-3-030-86993-9_40
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

Co-relation coefficient
Explainable AI
Machine learning
Support vector machine (SVM)

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-86993-9_40

Cite this

Biswas, M., Kaiser, M. S., Mahmud, M., Al Mamun, S., Hossain, M. S., & Rahman, M. A. (2021). An XAI Based Autism Detection: The Context Behind the Detection. In M. Mahmud, M. S. Kaiser, S. Vassanelli, Q. Dai, & N. Zhong (Eds.), Brain Informatics - 14th International Conference, BI 2021, Proceedings (pp. 448-459). (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_40

Biswas, Milon ; Kaiser, M. Shamim ; Mahmud, Mufti et al. / An XAI Based Autism Detection : The Context Behind the Detection. 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. 448-459 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Biswas, M, Kaiser, MS, Mahmud, M, Al Mamun, S, Hossain, MS & Rahman, MA 2021, An XAI Based Autism Detection: The Context Behind the Detection. 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. 448-459, 14th International Conference on Brain Informatics, BI 2021, Virtual, Online, 17/09/21. https://doi.org/10.1007/978-3-030-86993-9_40

An XAI Based Autism Detection: The Context Behind the Detection. / Biswas, Milon; Kaiser, M. Shamim; Mahmud, Mufti et al.
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. 448-459 (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

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AU - Kaiser, M. Shamim

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AU - Al Mamun, Shamim

AU - Hossain, Md Shahadat

AU - Rahman, Muhammad Arifur

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KW - Machine learning

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M3 - Conference contribution

AN - SCOPUS:85115827443

SN - 9783030869922

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Brain Informatics - 14th International Conference, BI 2021, Proceedings

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A2 - Kaiser, M Shamim

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ER -

Biswas M, Kaiser MS, Mahmud M, Al Mamun S, Hossain MS, Rahman MA. An XAI Based Autism Detection: The Context Behind the Detection. 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. 448-459. (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_40