Islamic University Researchers Highlight Recent Research in Autism (An evaluation of machine learning approaches for early diagnosis of autism spectrum disorder).

Předmět:	AUTISM spectrum disorders RESEARCH personnel AUTISM EARLY diagnosis TECHNOLOGICAL innovations MACHINE learning CHILDREN with developmental disabilities CHILDREN with autism spectrum disorders
Zdroj:	Mental Health Weekly Digest; 6/14/2024, p737-737, 1p
Abstrakt:	Researchers from Islamic University in Kushtia, Bangladesh have conducted a study on the use of machine learning for the early diagnosis of Autism Spectrum Disorder (ASD). The study evaluates eight different classification models and finds that the SVM and LR models achieve the highest accuracy of 100% for the children dataset, while the LR model achieves the highest accuracy of 97.14% for the adult dataset. The researchers also explore clustering algorithms and find that spectral clustering outperforms other models. The study provides valuable insights into the potential of machine learning in improving the diagnostic process for ASD. [Extracted from the article]
Databáze:	Complementary Index
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