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2023 | OriginalPaper | Chapter

An Effective Feature Selection and Classification Technique Based on Ensemble Learning for Dyslexia Detection

Authors : Tabassum Gull Jan, Sajad Mohammad Khan

Published in: Intelligent Communication Technologies and Virtual Mobile Networks

Publisher: Springer Nature Singapore

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Abstract

Dyslexia is the hidden learning disability where students feel difficulty in attaining skills of reading, spelling, and writing. Among different Specific Learning disabilities, Dyslexia is the most challenging and crucial one. To make dyslexia detection easier different approaches have been followed by researchers. In this research paper, we have proposed an effective feature selection and classification technique based on the Voting ensemble approach. Our proposed model attained an accuracy of about 90%. Further Comparative analysis between results of various classifiers shows that random forest classifier is more accurate in its prediction. Also using bagging and the Stacking approach of ensemble learning accuracy of classification was further improved.

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Literature
1.
Karande S, Sholapurwala R, Kulkarni M (2011) Managing specific learning disability in schools in India. Indian Pediatr 48(7):515–520CrossRef
2.
Mittal SK, Zaidi I, Puri N, Duggal S, Rath B, Bhargava SK (1977) Communication disabilities: emerging problems of childhood. Indian Pediatr 14(10):811–815
3.
Singh S, Sawani V, Deokate M, Panchal S, Subramanyam A, Shah H, Kamath R (2017) Specific learning disability: a 5 year study from India. Int J Contemp Pediatr 4(3):863CrossRef
4.
Bandla S, Mandadi G, Bhogaraju A (2017) Specific learning disabilities and psychiatric comorbidities in school children in South India. Indian J Psychol Med 39(1):76–82CrossRef
5.
Bashar A (2019) Survey on evolving deep learning neural network architectures. J Artif Intell 1(02):73–82
6.
Kumar TS (2021) Construction of hybrid deep learning model for predicting children behavior based on their emotional reaction. J Inf Technol 3(01):29–43
7.
Mugunthan SR, Vijayakumar T (2021) Design of improved version of sigmoidal function with biases for classification task in ELM domain. J Soft Comput Paradigm (JSCP) 3(02):70–82CrossRef
8.
Manoharan S (2019) Study on hermitian graph wavelets in feature detection. J Soft Comput Paradigm (JSCP) 1(01):24–32CrossRef
9.
Adam EEB (2021) Survey on medical imaging of electrical impedance tomography (EIT) by variable current pattern methods. J ISMAC 3(02):82–95
10.
11.
12.
Khan RU, Cheng JLA, Bee OY (2018) Machine learning and Dyslexia: Diagnostic and classification system (DCS) for kids with learning disabilities. Int J Eng Technol 7(3):97–100
13.
Hamid SSA, Admodisastro N, Manshor N, Kamaruddin A, Ghani AAA (2018) Dyslexia adaptive learning model: student engagement prediction using machine learning approach. In: Ghazali R, Deris M, Nawi N, Abawajy J (eds) Recent advances on soft computing and data mining: advances in intelligent systems and computing, vol 700. Springer, Cham, Switzerland, pp 372–384. https://​doi.​org/​10.​1007/​978-3-319-72550-5_​36
14.
Perera H, Shiratuddin M, Wong K, Fullarton K (2018) EEG signal analysis of writing and typing between adults with dyslexia and normal controls. Int J Interact Multimedia Artif Intell 5(1):62
15.
Martinez-Murcia FJ, Ortiz A, Morales-Ortega R, Lopez PJ, Luque JL, Castillo-Barnes D, Górriz JM (2019) Periodogram connectivity of EEG signals for the detection of dyslexia. In: International work-conference on the interplay between natural and artificial computation. Springer, Cham, pp 350–359
16.
Jothi Prabha A, Bhargavi R, Ragala R (2019) Predictive model for dyslexia from eye fixation events. Int J Eng Adv Technol 9(13):235–240
17.
Spoon K, Crandall D, Siek K (2019) Towards detecting dyslexia in children’s handwriting using neural networks. In: Proceedings of the International Conference Machine Learning AI Social Good Workshop, pp 1–5
18.
Rello L, Baeza-Yates R, Ali A, Bigham J, Serra M (2020) Predicting risk of dyslexia with an online gamified test. PLOS ONE 15(12):e0241687
19.
Rello L, Williams K, Ali A, Cushen White N, Bigham JP (2016) Dytective: towards detecting dyslexia across languages using an online game. In: Proceedings of W4A’16, Montreal, Canada. ACM Press
20.
Rello L, Ballesteros M, Ali A, Serra M, Alarcon D, Bigham JP (2016) Dytective: diagnosing risk of dyslexia with a game. In: Proceedings of Pervasive Health’16, Cancun, Mexico
Metadata
Title
An Effective Feature Selection and Classification Technique Based on Ensemble Learning for Dyslexia Detection
Authors
Tabassum Gull Jan
Sajad Mohammad Khan
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Intelligent Communication Technologies and Virtual Mobile Networks

Print ISBN: 978-981-19-1843-8

Electronic ISBN: 978-981-19-1844-5

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-19-1844-5_32