Publications by authors named "Vassil G Hadjidekov"
The aim of the present study is to develop effective and understandable classification models for sex estimation and to identify the most dimorphic linear measurements in adult crania by means of data mining techniques. Furthermore, machine learning models and models developed through logistic regression analysis are compared in terms of performance. Computed tomography scans of 393 adult individuals were used in the study.
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- The study investigates sex differences in the size of the Mastoid Triangle (MT) among Bulgarian adults using CT scans.
- The research involved creating 3D models from CT data to analyze the dimensions of the MT, with significant differences found between males and females in sides, area, and angles.
- Results indicated that the MT can accurately estimate sex with up to 89% accuracy, validating its effectiveness in forensic and anthropological applications.