What question did this study set out to answer?

This research aims to develop a new method for screening PTSD in student-athletes by creating distinct symptom clusters.

April 23, 2026BMC Psychology0 citationsOpen Access

Deep learning driven clustering of post-traumatic stress disorder (PTSD) profiles in student-athletes: implications for precision and stratified mental health support

SJShuoyu JingZhengzhou University WHWenshuyu HaoNational University of Malaysia BWBaosheng WuWenzhou University

Key Points

This research aims to develop a new method for screening PTSD in student-athletes by creating distinct symptom clusters.
Implemented a deep learning approach for clustering PTSD symptoms
Integrated cluster profiles with stratified care principles
Focused on student-athlete populations for tailored solutions
Identified distinct PTSD symptom clusters among student-athletes
Provided insights for better resource allocation in mental health support
Enhanced understanding of personalized care strategies to aid affected individuals

Abstract

This study proposes a novel cluster-based research paradigm for the precise screening of PTSD in student-athletes. By integrating clustered symptom profiles with stratified care principles, the findings provide actionable insights for optimizing resource allocation and enhancing mental health support systems for student-athletes.

问 AI

Bookmark

View Full Paper