A multimodal machine learning framework for diagnosis of otitis media with effusion using 3D wideband acoustic immittance

Tariq Rahim; Fei Zhao

doi:10.1109/CCNC54725.2025.10976051

A multimodal machine learning framework for diagnosis of otitis media with effusion using 3D wideband acoustic immittance

Tariq Rahim
, Fei Zhao

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

Original language	English
Title of host publication	Published in: 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc, ISSN 2331-9852 ISBN 9798331508067. This work was supported by Kingston University London, United Kingdom. Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers
DOIs	https://doi.org/10.1109/CCNC54725.2025.10976051
Publication status	Published - 10 Jan 2025

Bibliographical note

Note: Published in: 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc, ISSN 2331-9852 ISBN 9798331508067. This work was supported by Kingston University London, United Kingdom.

Organising Body: Institute of Electrical and Electronics Engineers

Organising Body: Institute of Electrical and Electronics Engineers

Keywords

Computer science and informatics

Access to Document

10.1109/CCNC54725.2025.10976051

Rahim-T-56889-AAMAccepted author manuscript, 1.95 MBLicence: Unspecified

https://doi.org/10.1109/CCNC54725.2025.10976051

1 Paper

A multimodal machine learning framework for diagnosis of otitis media with effusion using 3D wideband acoustic immittance
Rahim, T. & Zhao, F., 10 Jan 2025.
Research output: Contribution to conference › Paper › peer-review

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Rahim, T., & Zhao, F. (2025). A multimodal machine learning framework for diagnosis of otitis media with effusion using 3D wideband acoustic immittance. In Published in: 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc, ISSN 2331-9852 ISBN 9798331508067. This work was supported by Kingston University London, United Kingdom. Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers https://doi.org/10.1109/CCNC54725.2025.10976051

Rahim, Tariq ; Zhao, Fei. / A multimodal machine learning framework for diagnosis of otitis media with effusion using 3D wideband acoustic immittance. Published in: 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc, ISSN 2331-9852 ISBN 9798331508067. This work was supported by Kingston University London, United Kingdom. Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. 2025.

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Rahim, T & Zhao, F 2025, A multimodal machine learning framework for diagnosis of otitis media with effusion using 3D wideband acoustic immittance. in Published in: 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc, ISSN 2331-9852 ISBN 9798331508067. This work was supported by Kingston University London, United Kingdom. Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CCNC54725.2025.10976051

A multimodal machine learning framework for diagnosis of otitis media with effusion using 3D wideband acoustic immittance. / Rahim, Tariq; Zhao, Fei.
Published in: 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc, ISSN 2331-9852 ISBN 9798331508067. This work was supported by Kingston University London, United Kingdom. Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. 2025.

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

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Rahim T, Zhao F. A multimodal machine learning framework for diagnosis of otitis media with effusion using 3D wideband acoustic immittance. In Published in: 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc, ISSN 2331-9852 ISBN 9798331508067. This work was supported by Kingston University London, United Kingdom. Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. 2025 doi: 10.1109/CCNC54725.2025.10976051