iConDet: An Intelligent Portable Healthcare App for the Detection of Conjunctivitis

Prateeti Mukherjee; Ishita Bhattacharyya; Meghma Mullick; Rahul Kumar; Nilanjana Dutta Roy; Mufti Mahmud

doi:10.1007/978-3-030-82269-9_3

iConDet: An Intelligent Portable Healthcare App for the Detection of Conjunctivitis

Prateeti Mukherjee
, Ishita Bhattacharyya
, Meghma Mullick
, Rahul Kumar
, Nilanjana Dutta Roy^*
, Mufti Mahmud

^*Corresponding author for this work

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

19 Scopus citations

Abstract

Conjunctivitis is a common ocular disease characterized by infection or swelling in the outer membrane of human eye. This contagious ocular disease could be controlled and well treated by medicines depending upon it’s category. To realize the connection between Conjunctivitis and other viral diseases, even for COVID-19, timely detection plays an important role. In this study, we have designed a mobile healthcare application (iConDet) through which initial level of Conjunctivitis detection is possible. Deep learning techniques have been used upon the Conjunctivitis dataset prepared by us in support of the claim and to achieve the desired accuracy of 84%.

Original language	English
Title of host publication	Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings
Editors	Mufti Mahmud, M. Shamim Kaiser, Nikola Kasabov, Khan Iftekharuddin, Ning Zhong
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	29-42
Number of pages	14
ISBN (Print)	9783030822682
DOIs	https://doi.org/10.1007/978-3-030-82269-9_3
State	Published - 2021
Externally published	Yes
Event	1st International Conference on Applied Intelligence and Informatics, AII 2021 - Virtual, Online Duration: 30 Jul 2021 → 31 Jul 2021

Publication series

Name	Communications in Computer and Information Science
Volume	1435
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	1st International Conference on Applied Intelligence and Informatics, AII 2021
City	Virtual, Online
Period	30/07/21 → 31/07/21

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

Conjunctivitis
Deep learning
Machine learning
Mobile application
Transfer learning

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-030-82269-9_3

Cite this

Mukherjee, P., Bhattacharyya, I., Mullick, M., Kumar, R., Roy, N. D., & Mahmud, M. (2021). iConDet: An Intelligent Portable Healthcare App for the Detection of Conjunctivitis. In M. Mahmud, M. S. Kaiser, N. Kasabov, K. Iftekharuddin, & N. Zhong (Eds.), Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings (pp. 29-42). (Communications in Computer and Information Science; Vol. 1435). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-82269-9_3

Mukherjee, Prateeti ; Bhattacharyya, Ishita ; Mullick, Meghma et al. / iConDet : An Intelligent Portable Healthcare App for the Detection of Conjunctivitis. Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings. editor / Mufti Mahmud ; M. Shamim Kaiser ; Nikola Kasabov ; Khan Iftekharuddin ; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2021. pp. 29-42 (Communications in Computer and Information Science).

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title = "iConDet: An Intelligent Portable Healthcare App for the Detection of Conjunctivitis",

abstract = "Conjunctivitis is a common ocular disease characterized by infection or swelling in the outer membrane of human eye. This contagious ocular disease could be controlled and well treated by medicines depending upon it{\textquoteright}s category. To realize the connection between Conjunctivitis and other viral diseases, even for COVID-19, timely detection plays an important role. In this study, we have designed a mobile healthcare application (iConDet) through which initial level of Conjunctivitis detection is possible. Deep learning techniques have been used upon the Conjunctivitis dataset prepared by us in support of the claim and to achieve the desired accuracy of 84\%.",

keywords = "Conjunctivitis, Deep learning, Machine learning, Mobile application, Transfer learning",

author = "Prateeti Mukherjee and Ishita Bhattacharyya and Meghma Mullick and Rahul Kumar and Roy, \{Nilanjana Dutta\} and Mufti Mahmud",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 1st International Conference on Applied Intelligence and Informatics, AII 2021 ; Conference date: 30-07-2021 Through 31-07-2021",

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doi = "10.1007/978-3-030-82269-9\_3",

language = "English",

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series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

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editor = "Mufti Mahmud and Kaiser, \{M. Shamim\} and Nikola Kasabov and Khan Iftekharuddin and Ning Zhong",

booktitle = "Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings",

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}

Mukherjee, P, Bhattacharyya, I, Mullick, M, Kumar, R, Roy, ND & Mahmud, M 2021, iConDet: An Intelligent Portable Healthcare App for the Detection of Conjunctivitis. in M Mahmud, MS Kaiser, N Kasabov, K Iftekharuddin & N Zhong (eds), Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings. Communications in Computer and Information Science, vol. 1435, Springer Science and Business Media Deutschland GmbH, pp. 29-42, 1st International Conference on Applied Intelligence and Informatics, AII 2021, Virtual, Online, 30/07/21. https://doi.org/10.1007/978-3-030-82269-9_3

iConDet: An Intelligent Portable Healthcare App for the Detection of Conjunctivitis. / Mukherjee, Prateeti; Bhattacharyya, Ishita; Mullick, Meghma et al.
Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings. ed. / Mufti Mahmud; M. Shamim Kaiser; Nikola Kasabov; Khan Iftekharuddin; Ning Zhong. Springer Science and Business Media Deutschland GmbH, 2021. p. 29-42 (Communications in Computer and Information Science; Vol. 1435).

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

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T1 - iConDet

T2 - 1st International Conference on Applied Intelligence and Informatics, AII 2021

AU - Mukherjee, Prateeti

AU - Bhattacharyya, Ishita

AU - Mullick, Meghma

AU - Kumar, Rahul

AU - Roy, Nilanjana Dutta

AU - Mahmud, Mufti

PY - 2021

Y1 - 2021

N2 - Conjunctivitis is a common ocular disease characterized by infection or swelling in the outer membrane of human eye. This contagious ocular disease could be controlled and well treated by medicines depending upon it’s category. To realize the connection between Conjunctivitis and other viral diseases, even for COVID-19, timely detection plays an important role. In this study, we have designed a mobile healthcare application (iConDet) through which initial level of Conjunctivitis detection is possible. Deep learning techniques have been used upon the Conjunctivitis dataset prepared by us in support of the claim and to achieve the desired accuracy of 84%.

AB - Conjunctivitis is a common ocular disease characterized by infection or swelling in the outer membrane of human eye. This contagious ocular disease could be controlled and well treated by medicines depending upon it’s category. To realize the connection between Conjunctivitis and other viral diseases, even for COVID-19, timely detection plays an important role. In this study, we have designed a mobile healthcare application (iConDet) through which initial level of Conjunctivitis detection is possible. Deep learning techniques have been used upon the Conjunctivitis dataset prepared by us in support of the claim and to achieve the desired accuracy of 84%.

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KW - Machine learning

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KW - Transfer learning

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BT - Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings

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PB - Springer Science and Business Media Deutschland GmbH

Y2 - 30 July 2021 through 31 July 2021

ER -

Mukherjee P, Bhattacharyya I, Mullick M, Kumar R, Roy ND, Mahmud M. iConDet: An Intelligent Portable Healthcare App for the Detection of Conjunctivitis. In Mahmud M, Kaiser MS, Kasabov N, Iftekharuddin K, Zhong N, editors, Applied Intelligence and Informatics - 1st International Conference, AII 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 29-42. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-82269-9_3

iConDet: An Intelligent Portable Healthcare App for the Detection of Conjunctivitis

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this