Analysis of posttraumatic embitterment disorders by machine learning: Could sullenness be a predictor of posttraumatic embitterment disorder?


Creative Commons License

Kilic B., Karakaplan M., Unal S.

DUSUNEN ADAM-JOURNAL OF PSYCHIATRY AND NEUROLOGICAL SCIENCES, cilt.35, sa.2, ss.111-120, 2022 (ESCI) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 35 Sayı: 2
  • Basım Tarihi: 2022
  • Doi Numarası: 10.14744/dajpns.2022.00182
  • Dergi Adı: DUSUNEN ADAM-JOURNAL OF PSYCHIATRY AND NEUROLOGICAL SCIENCES
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, Academic Search Premier, CINAHL, EMBASE, Psycinfo, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.111-120
  • Anahtar Kelimeler: Machine learning, network analysis, posttraumatic embitterment disorder, sullenness, SELF-RATING SCALE, NETWORK ANALYSIS, PSYCHIATRY
  • İnönü Üniversitesi Adresli: Evet

Özet

Objective: This study aimed to determine some fundamental factors specific to posttraumatic embitterment disorder (PTED) using deep machine learning (ML) and network analysis techniques.