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Classification of Tongue - Glossitis Abnormality

Version 2 2024-03-12, 17:24
Version 1 2023-10-19, 14:39
journal contribution
posted on 2024-03-12, 17:24 authored by Ashiqur Rahman, Amr Ahmed, Shigang Yue

Glossitis abnormality is a tongue abnormality affecting patients suffering from Diabetes Mellitus (DM). The novelty of the proposed approach is attributed to utilising visual signs that appear on the tongue due to Glossitis abnormality caused by the high blood sugar level in the human body. The clinical test for the blood sugar level is inconvenient for some patients in rural and poor areas where medical services are minimal or may not be available at all.This paper presents an approach to classifying a tongue abnormality related to Diabetes Mellitus (DM) following Western Medicine. To screen and monitor human organ effectively, the proposed computer-aided model predicts and classifies abnormality appears on the tongue or tongue surface using visual signs caused by the Glossitis abnormality. The visual signs extracted following a coherent diagnosis procedure complying with Western Medicine (WM) in practice. The experimental result has shown a promising accuracy of 95.8% for the Glossitis abnormality by applying Random Forest classifier on the extracted visual signs from 572 tongue samples of 166 patients.

History

School affiliated with

  • School of Computer Science (Research Outputs)

Publication Title

Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering

Pages/Article Number

1-4

Publisher

International Association of Engineers (IAENG)

ISSN

2078-0958

eISSN

2078-0966

ISBN

978-988-14048-3-1

Date Submitted

2019-12-02

Date Accepted

2017-03-22

Date of First Publication

2017-07-28

Date of Final Publication

2017-07-28

Event Name

The 2017 International Conference of Data Mining and Knowledge Engineering

Event Dates

5th - 7th July, 2017

ePrints ID

35378

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    University of Lincoln (Research Outputs)

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