The main objective of this study was to show the applicability of multiple correspondence analysis (MCA) in the detection and representation of underlying structures in large datasets used to investigate oral–maxillofacial lesions. A cross-sectional study was conducted involving the analysis of the medical–forensic and social records of 992 people who experienced oral–maxillofacial trauma resulting from non-fatal violent crimes that occurred in the community. Based on the MCA results, two distinct victim profiles were identified.
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