Machine Learning in Autism Assessments

ÖZDEMİR S., Akin-Bulbul I., KÖK İ.

Autism and Child Psychopathology Series, Springer Publishing Company, ss.111-142, 2026 identifier

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1007/978-3-032-11802-8_3
  • Yayınevi: Springer Publishing Company
  • Sayfa Sayıları: ss.111-142
  • Anahtar Kelimeler: Artificial intelligence, Autism, Autism research, Clinical, Machine learning
  • Ankara Üniversitesi Adresli: Evet

Özet

Artificial intelligence (AI) is the science and engineering of creating intelligent systems that imitate human abilities to think, learn, and solve problems. One of the most significant subfields of AI is machine learning (Pramod et al., 2021). Over the past two decades, there has been rapid development in machine learning models across various research fields, including autism (Ozdemir et al., 2022; Wan et al., 2019; Zhao et al., 2021). Machine learning involves algorithms and methods that perform complex tasks such as analysis, prediction, classification, and decision-making by automatically learning from large datasets (Yildirim et al., 2024).