Depression and post-traumatic stress disorder (PTSD) are among the most common psychiatric disorders observed in children and adolescents exposed to sexual abuse. The present study aimed to investigate the effects of many factors such as the characteristics of a child, abuse, and the abuser, family type of the child, and the role of social support in the development of psychiatric disorders using machine learning techniques.
BI Norwegian Business School, Norwegian University of Science and Technology
University of Pennsylvania Columbia University
B. S. Abdur Rahman Crescent Institute of Science and Technology
King Faisal Specialist Hospital and Research Centre Princess Nora bint Abdul Rahman University Mississippi State University
Technological University Dublin
Technological University Dublin
Technological University Dublin
Zurich Institute of Forensic Medicine
Adhiyamaan College of Engineering
The Economist Intelligence Unit
Australian Institute of Criminology
Auckland University of Technology
Humboldt Universitat zu Berlin
Nalla Malla Engineering College, Galgotias University, Vellore Institute of Technology
Uskudar University Medical Faculty, Istanbul, Turkey
University of Edinburgh and George Mason University
The Economist Intelligence Unit
ITU/UNESCO Broadband Commission for Sustainable Development
University of New Haven / Digital Forensic Research Workshop
Institute of Electrical and Electronics Engineers (IEEE) and Mississippi State University
Department of Psychology, University of Gothenburg