A comparison between neural network and other metric methods to determine sex from the upper femur in a modern French population

Forensic Science International

Volumn 192, Issue 1-3, 2009, Pages 127.e1-127.e6

  du Jardin, Ph ^a   Ponsaille J ^b   Alunni Perret, V ^c   Quatrehomme, G ^c  

^a EDHEC BUSINESS SCHOOL   (France)

^b UNIVERSITÉ CÔTE D'AZUR   (France)

^c Laboratoire de Médecine Légale et Anthropologie médico légale   (France)

Author keywords

Discriminant analysis; Femoral sexual dimorphism; Femur; Forensic anthropology; Logistic regression; Neural network

Indexed keywords

ACCURACY; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DIAPHYSIS; DISCRIMINANT ANALYSIS; FEMALE; FEMUR; FRANCE; GREATER TROCHANTER; HUMAN; HUMAN TISSUE; INTERMETHOD COMPARISON; LESSER TROCHANTER; LOGISTIC REGRESSION ANALYSIS; MALE; MATHEMATICAL ANALYSIS; OBSERVER VARIATION; PHYSICAL ANTHROPOLOGY; PREDICTION; PRIORITY JOURNAL; SEX DETERMINATION; SEX DIFFERENCE; STATISTICAL MODEL;

EID: 70349622243     PISSN: 03790738     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.forsciint.2009.07.014     Document Type: Article

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