FAST PREDICTION OF KERATACONUS DETECTION USING SVM AND CORNEAL FEATURES

Adhil Naseem; Akhil PS; Ashique Soloman Paul; Athulya MS; Abhin Prakash MP; Harish Venu; Ajith PJ; Bindu Anto

FAST PREDICTION OF KERATACONUS DETECTION USING SVM AND CORNEAL FEATURES

September 2023

Vol-9, Issue-5

Paper ID: 21620

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

SVM (Support Vector Machine) Keratoconus prevalence machine learning algorithms unmet corneal subset discrimination preclinical stand-alone-software.

Abstract

Keratoconus affects approximately one in 2,000 individuals worldwide. It is typically associated with the decrease in visual acuity. Given its wide prevalence, there is an unmet need for the development of new tools that can diagnose the disease at an early stage in order to prevent disease progression and vision loss. The aim of this study is to develop and test a machine learning algorithm that can detect keratoconus at early stages. Several machine learning algorithms were applied to detect keratoconus and then tested the algorithms using real world medical data. Implemented 25 different machine learning models in Matlab and achieved a range of 62% to 94.0% accuracy. The highest accuracy level of 94% was obtained by a support vector machine (SVM) algorithm using a subset of eight corneal parameters with the highest discriminating power. The proposed model may aid physicians in assessing corneal status and detecting keratoconus, which is otherwise challenging through subjective evaluations, particularly at the preclinical and early stages of the disease. The algorithm can be integrated into corneal imaging devices or used as a stand-alone-software for cornea assessment and detecting early-stage keratoconus.

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Author Information

#	Name	Institute / Affiliation
1	Adhil Naseem	KKMMPTC Mala
2	Akhil PS	KKMMPTC Mala
3	Ashique Soloman Paul	KKMMPTC Mala
4	Athulya MS	KKMMPTC Mala
5	Abhin Prakash MP	KKMMPTC Mala
6	Harish Venu	KKMMPTC Mala
7	Ajith PJ	KKMMPTC Mala
8	Bindu Anto	KKMMPTC Mala

How to Cite

Use the following formats to cite this article in your research.

APA Style

Naseem, Adhil, PS, Akhil, Paul, Ashique Soloman, MS, Athulya, MP, Abhin Prakash, Venu, Harish, PJ, Ajith, & Anto, Bindu (2023). FAST PREDICTION OF KERATACONUS DETECTION USING SVM AND CORNEAL FEATURES. International Journal of Advance Research and Innovative Ideas In Education, 9(5), 474-485.

MLA Style

Naseem, Adhil, et al. "FAST PREDICTION OF KERATACONUS DETECTION USING SVM AND CORNEAL FEATURES." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, 2023, pp. 474-485.

IEEE Style

Adhil Naseem, Akhil PS, Ashique Soloman Paul, Athulya MS, Abhin Prakash MP, Harish Venu, Ajith PJ, and Bindu Anto, "FAST PREDICTION OF KERATACONUS DETECTION USING SVM AND CORNEAL FEATURES," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, pp. 474-485, 2023.

Vancouver Style

Naseem Adhil, PS Akhil, Paul Ashique Soloman, MS Athulya, MP Abhin Prakash, Venu Harish, et al. FAST PREDICTION OF KERATACONUS DETECTION USING SVM AND CORNEAL FEATURES. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(5):474-485.

Harvard Style

Naseem, Adhil, PS, Akhil, Paul, Ashique Soloman, MS, Athulya, MP, Abhin Prakash, Venu, Harish, PJ, Ajith, & Anto, Bindu (2023) 'FAST PREDICTION OF KERATACONUS DETECTION USING SVM AND CORNEAL FEATURES', International Journal of Advance Research and Innovative Ideas In Education, 9(5), pp. 474-485.

Chicago Style

Naseem, Adhil, et al. "FAST PREDICTION OF KERATACONUS DETECTION USING SVM AND CORNEAL FEATURES." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 474-485.

Turabian Style

Naseem, Adhil, et al. "FAST PREDICTION OF KERATACONUS DETECTION USING SVM AND CORNEAL FEATURES." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 474-485.