Paper Info
Title
Method for Estimating Height in People using Multivariable Statistics.
Abstract
Determining the sex, age, height, and race of the subject is the initial phase in the identification of bone remains, as a background, it allows to build a biological profile of an individual, which is the first step for identification when it is not possible to use conventional methods based on fingerprints or identification guided by the recognition of features and/or clothing. The aim of this study was to evaluate Carrea’s method for determining height from the dimensions of temporal maxillary pieces and, in a second step, to propose a mathematical method. A regression equation was determined to allow the correct estimation of height in 58, 3% of the cases with ±5cm and in 98.2% with ±10cm, which is a practical tool for estimating height that must be supported by other methods.
Year
DOI
Venue
2019
10.1016/j.procs.2019.11.091
Procedia Computer Science
Keywords
Field
DocType
height,Carrea´s index,forensic dentistry
Multivariable calculus,Computer science,Artificial intelligence,Statistics,Machine learning
Conference
Volume
ISSN
Citations 
160
1877-0509
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Amelec Viloria146.81
Omar Bonerge Pineda Lezama202.70
Noel Varela300.34