Predicting Autism Spectrum Disorder in Children Using Glowworm Optimization With Extreme Learning Machine Networks
The ASD detection model provides an interpretable, fast, and reliable solution that is effectively utilized in the pediatric healthcare domain.
Authors
- Mohd Anjum (ORCID: https://orcid.org/0000-0003-4094-3786)
- Zaffar Ahmed Shaikh (ORCID: https://orcid.org/0000-0003-0323-2061)
- Vijay Govindarajan
- Ashit Kumar Dutta
- Sana Shahab
- Amr Yousef
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- Shaheed Benazir Bhutto University (PK)
- Alfaisal University (SA)
- Aligarh Muslim University (IN)
- Riyadh Elm University (SA)
- Expedia Group (United States) (US)
- Dar Al Uloom University (SA)
- University of Business and Technology (SA)
- École Polytechnique Fédérale de Lausanne (CH)
- Alexandria University (EG)
Publication Details
- Journal
- Brain and Behavior
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1002/brb3.71225
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00