Sex determination by the machine learning algorithms through using morphometric measurements of the carpal, metacarpal, and phalangeal bones
Yükleniyor...
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Sociedad Chilena de Anatomía
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In the study, it was aimed to predict sex from hand measurements using machine learning algorithms (MLA). Measurements were made on MR images of 60 men and 60 women. Determined parameters; hand length (HL), palm length (PL), hand width (HW), wrist width (EBG), metacarpal I length (MIL), metacarpal I width (MIW), metacarpal II length (MIIL), metacarpal II width (MIIW), metacarpal III length (MIIL), metacarpal III width (MIIIW), metacarpal IV length (MIVL), metacarpal IV width (MIVW), metacarpal V length (MVL), metacarpal V width (MVW), phalanx I length (PILL), measured as phalanx II length (PIIL), phalanx III length (PIIL), phalanx IV length (PIVL), phalanx V length (PVL). In addition, the hand index (HI) was calculated. Logistic Regression (LR), Random Forest (RF), Linear Discriminant Analysis (LDA), K-nearest neighbour (KNN) and Naive Bayes (NB) were used as MLAs. In the study, the KNN algorithm's Accuracy, SEN, F1 and Specificity ratios were determined as 88 %. In this study using MLA, it is understood that the highest accuracy belongs to the KNN algorithm. Except for the hand's MIIW, MIIIW, MIVW, MVW, HI variables, other variables were statistically significant in terms of sex difference.
Açıklama
Anahtar Kelimeler
Hand, Sex Determination, Magnetic Resonance Imaging, Stature, Length, Foot
Kaynak
International Journal of Morphology
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
41
Sayı
4
Künye
Senol, G. T., Kürtül, I., Ray, A., & Ahmetoglu, G. (2023). Sex Determination by the Machine Learning Algorithms Through Using Morphometric Measurements of the Carpal, Metacarpal, and Phalangeal Bones. International Journal of Morphology, 41(4).
