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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.17 No.3
- 발행연도
- 2023.9
- 수록면
- 127 - 134 (8page)
- DOI
- 10.5626/JCSE.2023.17.3.127
이용수
초록· 키워드
오류제보하기
In this work, an efficient machine learning technique for autism diagnosis using structural magnetic resonance imaging (MRI) is proposed. The proposed technique employs the voxel-based morphometry (VBM) approach to extract a set of 989 relevant features from MRI. These features are used to train an efficient extreme learning machine (ELM) classifier to identify autism spectrum disorder (ASD) and healthy controls. The proposed selective binary coded genetic algorithm (sBCGA) found a subset of significant VBM features. The selected subset of features was used to build a final ELM classifier with maximum overall accuracy. The proposed sBCGA uses a selective sample-balanced crossover designed to improve the classification of ASD and healthy controls. The proposed sBCGA has been extensively tested, and the experimental results clearly indicated better accuracy than existing methods.
목차
Abstract
I. INTRODUCTION
II. ABIDE DATABASE
III. ASD DIAGNOSTIC APPROACH USING SBCGA-ELM
IV. EXPERIMENTAL RESULTS
V. CONCLUSION
REFERENCES
참고문헌 (20)
참고문헌 신청
M. J. Maenner, K. A. Shaw, J. Baio, A. Washington, M. Patrick, M. DiRienzo, et al., “Prevalence of autism spectrum disorder among children aged 8 years—autism and developmental disabilities monitoring network, 11 sites, United States, 2016,” MMWR Surveill
T. Banaschewski, K. Becker, S. Scherag, B. Franke, and D. Coghill, “Molecular genetics of attention-deficit/hyperactivity disorder: an overview,” European Child & Adolescent Psychiatry, vol. 19, pp. 237-257, 2010. https://doi.org/10.1007/s00787-010-0090-z
C. Lord, M. Rutter, and A. Le Couteur, “Autism diagnostic interview-revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders,” Journal of Autism and Developmental Disorders, vol. 24
L. Bonilha, F. Cendes, C. Rorden, M. Eckert, P. Dalgalarrondo, L. M. Li, and C. E. Steiner, “Gray and white matter imbalance: typical structural abnormality underlying classic autism?,” Brain and Development, vol. 30, no. 6, pp. 396-401, 2008. https://doi
K. L. Hyde, F. Samson, A. C. Evans, and L. Mottron, L. (2010). Neuroanatomical differences in brain “areas implicated in perceptual and other core features of autism revealed by cortical thickness analysis and voxel‐based morphometry,” Human Brain Mapping
T. Banaschewski, K. Becker, S. Scherag, B. Franke, and D. Coghill, “Molecular genetics of attention-deficit/hyperactivity disorder: an overview,” European Child & Adolescent Psychiatry, vol. 19, pp. 237-257, 2010. https://doi.org/10.1007/s00787-010-0090-z
C. Lord, M. Rutter, and A. Le Couteur, “Autism diagnostic interview-revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders,” Journal of Autism and Developmental Disorders, vol. 24
L. Bonilha, F. Cendes, C. Rorden, M. Eckert, P. Dalgalarrondo, L. M. Li, and C. E. Steiner, “Gray and white matter imbalance: typical structural abnormality underlying classic autism?,” Brain and Development, vol. 30, no. 6, pp. 396-401, 2008. https://doi
K. L. Hyde, F. Samson, A. C. Evans, and L. Mottron, L. (2010). Neuroanatomical differences in brain “areas implicated in perceptual and other core features of autism revealed by cortical thickness analysis and voxel‐based morphometry,” Human Brain Mapping
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