Classification and Regression Tree Analysis for Predicting Morphological Hand Types Based on Radiography Data

Analysis and systematization of the longitudinal dimensions of the phalanges of the index and ring fingers for the classification of morphological types of the hand using classification and regression trees (CART). X-rays of the hands of 50 men and 50 women (mean age 47.16 (10.1) years, range 23-65...

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Veröffentlicht in:International journal of morphology 2021-12, Vol.39 (6), p.1727-1730
Hauptverfasser: Ermolenko, Aleksandr S, Khayrullin, Radik M
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Khayrullin, Radik M
description Analysis and systematization of the longitudinal dimensions of the phalanges of the index and ring fingers for the classification of morphological types of the hand using classification and regression trees (CART). X-rays of the hands of 50 men and 50 women (mean age 47.16 (10.1) years, range 23-65 years) were studied. Each hand, depending on the ratio of the length of the index and ring fingers, was classified into three types: radial (R, 2d>4d), indefinite (N, 2d=4d), ulnar (U, 2d>4d). Morphometry of radiographs included measurements of the lengths of the proximal (PP), middle (MP), and distal (DP) phalanges. The sex differences of the analyzed indicators are statistically significant. There were no significant bilateral differences between the phalanges of the II and IV fingers in length, regardless of sex (p>0.05). A set of rules for classifying the morphological types of the hand depending on the lengths of the phalanges of the index and ring fingers was created by constructing a binary decision tree. The CART method demonstrates the usefulness of this statistical procedure for developing a scientifically based prediction of the morphological type of the hand. The results of this study can be the basis of an algorithm for determining the morphological type of the hand depending on the length of the phalanges of the fingers.
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title Classification and Regression Tree Analysis for Predicting Morphological Hand Types Based on Radiography Data
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