Estimation of the Development of Depression and PTSD in Children Exposed to Sexual Abuse and Development of Decision Support Systems by Using Artificial Intelligence

Organization
Description
The report describes an experiment in which algorithms were able to predict whether a child had PTSD or major depression, with 99.2% accuracy, based solely on data about the person and the assault. This meant that no additional information was required beyond what is usually collected in child sexual abuse cases. The results indicate that it is possible to use AI early after an abuse has occurred to predict whether PTSD or major depression is likely to develop.
File
Tags
Child-focusedPost-traumatic stress (PTS)Post-crime efforts
Type
Research (peer reviewed)
Year
2020