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Title: :  FAST PREDICTION OF KERATACONUS DETECTION USING SVM AND CORNEAL FEATURES
PaperId: :  21620
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 5 2023
DUI:    16.0415/IJARIIE-21620
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Adhil NaseemKKMMPTC Mala
Akhil PS KKMMPTC Mala
Ashique Soloman PaulKKMMPTC Mala
Athulya MSKKMMPTC Mala
Abhin Prakash MP KKMMPTC Mala
Harish Venu KKMMPTC Mala
Ajith PJ KKMMPTC Mala
Bindu Anto KKMMPTC Mala

Abstract

Computer Engineering
SVM (Support Vector Machine), Keratoconus, prevalence, machine learning algorithms, unmet, corneal, subset, discrimination, preclinical, stand-alone-software.
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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IJARIIE 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 Volume 9 Issue 5 2023 Page 474-485
MLA 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 9.5(2023) : 474-485.
APA Adhil Naseem, Akhil PS , Ashique Soloman Paul, Athulya MS, Abhin Prakash MP , Harish Venu , Ajith PJ , & Bindu Anto . (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.
Chicago 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 9, no. 5 (2023) : 474-485.
Oxford 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, 2023, p. 474-485. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/FAST_PREDICTION_OF_KERATACONUS_DETECTION_USING_SVM_AND_CORNEAL_FEATURES_ijariie21620.pdf (Accessed : ).
Harvard Adhil Naseem, Akhil PS , Ashique Soloman Paul, Athulya MS, Abhin Prakash MP , Harish Venu , Ajith PJ , and Bindu Anto . (2023) 'FAST PREDICTION OF KERATACONUS DETECTION USING SVM AND CORNEAL FEATURES', International Journal Of Advance Research And Innovative Ideas In Education, 9(5), pp. 474-485IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/FAST_PREDICTION_OF_KERATACONUS_DETECTION_USING_SVM_AND_CORNEAL_FEATURES_ijariie21620.pdf (Accessed : )
IEEE 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, Sep-Oct 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/FAST_PREDICTION_OF_KERATACONUS_DETECTION_USING_SVM_AND_CORNEAL_FEATURES_ijariie21620.pdf [Accessed : ].
Turabian 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 [Online]. volume 9 number 5 ().
Vancouver 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 [Internet]. 2023 [Cited : ]; 9(5) : 474-485. Available from: https://ijariie.com/AdminUploadPdf/FAST_PREDICTION_OF_KERATACONUS_DETECTION_USING_SVM_AND_CORNEAL_FEATURES_ijariie21620.pdf
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