Evaluating the efficacy and site-specific performance of machine learning approaches: A comprehensive review of autism detection models
As autism diagnoses rise globally, it is important to find a better approach for early and effective prediction. The primary objectives are to identify the models that provide the optimum balance of accuracy while taking age and data type considerations into account, as well as to identify shortcomi...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Franklin Open |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773186325000659 |
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