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Dataset Information

Factors and pathways of non-suicidal self-injury in children: insights from computational causal analysis.


ABSTRACT:

Background

Non-suicidal self-injury (NSSI) has become a significant public health issue, especially prevalent among adolescents. The complexity and multifactorial nature of NSSI necessitate a comprehensive understanding of its underlying causal factors. This research leverages the causal discovery methodology to explore these causal associations in children.

Methods

An observational dataset was scrutinized using the causal discovery method, particularly employing the constraint-based approach. By integrating machine learning and causal inference techniques, the study aimed to determine direct causal relationships associated with NSSI. The robustness of the causal relationships was evaluated using three methods to construct and validate it: the PC (Peter and Clark) method, Fa

SUBMITTER: Guo X 

PROVIDER: S-EPMC10963487 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature