ASD Diagnosis Using Stacked Ensemble Learning with Neural Network  Meta-Learner

Sahana Bisalapur1a,b, Geeta R Bharamagoudar, Shashikumar G. Totad

ASD Diagnosis Using Stacked Ensemble Learning with Neural Network Meta-Learner

Authors

Sahana Bisalapur1a,b, Geeta R Bharamagoudar, Shashikumar G. Totad

Keywords:

Autism Spectrum Disorder (ASD), Data Mining, SMOTE, Stacked Ensemble Learning, Classification.

Abstract

Autism Spectrum Disorder represents a continuous developmental brain condition which ischaracterized by causing difficulties and challenges in social interaction. It doesn’t haveproper treatment and has a wide range of impact on life therefore early and timelydetection plays critical role to significantly improve the quality of life of individuals

References

Megari, K., Frantzezou, C. K., Polyzopoulou, Z. A., & Tzouni, S. K. (2024). Neurocognitive features in childhood & adulthood in autism spectrum disorder: A neurodiversity approach. International Journal of Developmental Neuroscience, 84(6), 471-499.

Bertelli, M. O., Azeem, M. W., Underwood, L., Scattoni, M. L., Persico, A. M., Ricciardello, A., ... & Munir, K. (2022). Autism spectrum disorder. In Textbook of psychiatry for intellectual disability and autism spectrum disorder (pp. 369-455). Cham: Springer International Publishing

Downloads

Published

2024-12-13

How to Cite

Sahana Bisalapur1a,b, Geeta R Bharamagoudar, Shashikumar G. Totad. (2024). ASD Diagnosis Using Stacked Ensemble Learning with Neural Network Meta-Learner . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 5594–5610. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3274