Can We Predict Psychiatric Disorders at the Adolescence Period in Toddlers? A Machine Learning Approach

Usta M. B., Karabekiroglu K., SAY G. N., Gümüş Y. Y., Sahin B., BOZKURT A., ...Daha Fazla

PSYCHIATRY AND BEHAVIORAL SCIENCES, cilt.10, sa.1, ss.7-12, 2020 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 10 Sayı: 1
  • Basım Tarihi: 2020
  • Doi Numarası: 10.5455/pbs.20190806125540
  • Dergi Adı: PSYCHIATRY AND BEHAVIORAL SCIENCES
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.7-12
  • Anahtar Kelimeler: Child Psychiatry, Artificial Intelligence, Prediction, Supervised Learning, Classification, DEVELOPMENTAL PATHWAYS, EMOTIONAL-PROBLEMS, SLEEP PROBLEMS, CHILDHOOD, BEHAVIOR, CHILDREN, ASSOCIATIONS, PERSPECTIVES
  • Atatürk Üniversitesi Adresli: Hayır

Özet

Objective: Recent studies show emotional and behavioral problems in toddler hood affecting later stages of development. However, the predictive factors for psychiatric disorders were not studied with machine learning methods. We aimed to examine the predictors of outcome with machine learning methods, which are novel computational methods including statistical estimation, information theories, and mathematical learning automatically discovering useful patterns in large amounts of data.