Comparison on three classification techniques for sex estimation from the bone length of Asian children below 19 years old: An analysis using different group of ages

Highlights • All the classification techniques have better performance in different group of age. • Group of age “16–19” and “7–9” can be used for the sex estimation. • ANN model using K-fold cross validation is the best technique in this work. • The model produced 96.67% accuracy on both male and f...

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Veröffentlicht in:	Forensic science international 2015-02, Vol.247, p.130.e1-130.e11
Hauptverfasser:	Darmawan, M.F, Yusuf, Suhaila M, Abdul Kadir, M.R, Haron, H
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Adolescent Age Arthritis Asian Continental Ancestry Group Bones Child Child, Preschool Classification Classification techniques Databases as Topic Discriminant Analysis Female Females Finger Phalanges - anatomy & histology Finger Phalanges - diagnostic imaging Forensic Anthropology Forensic anthropology population data Forensic sciences Hand bone X-ray Humans Infant Infant, Newborn Learning theory Male Matlab Metacarpal Bones - anatomy & histology Metacarpal Bones - diagnostic imaging Neural networks Neural Networks (Computer) Pathology Sex Sex Determination by Skeleton - methods Sex estimation Software Support Vector Machine Support vector machines Variance analysis
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Zusammenfassung:	Highlights • All the classification techniques have better performance in different group of age. • Group of age “16–19” and “7–9” can be used for the sex estimation. • ANN model using K-fold cross validation is the best technique in this work. • The model produced 96.67% accuracy on both male and female for sex estimation. • Sex estimation using bone measurement on left hand can be applied on age 16–19.
ISSN:	0379-0738 1872-6283
DOI:	10.1016/j.forsciint.2014.11.007