Random forest age estimation model based on length of left hand bone for Asian population

In forensic anthropology, age estimation is used to ease the process of identifying the age of a living being or the body of a deceased person. Nonetheless, the specialty of the estimation models is solely suitable to a specific people. Commonly, the models are inter and intra-observer variability a...

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Main Authors:	Mohd Faaizie, Darmawan, Ahmad Firdaus, Zainal Abidin, Shahreen, Kasim, Sutikno, Tole, Budiarto, Rahmat
Format:	Article
Language:	English
Published:	Institute of Advanced Engineering and Science (IAES) 2020
Subjects:	GN Anthropology QA76 Computer software RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/26627/ http://umpir.ump.edu.my/id/eprint/26627/ http://umpir.ump.edu.my/id/eprint/26627/ http://umpir.ump.edu.my/id/eprint/26627/1/Random%20forest%20age%20estimation%20model%20based%20on%20length.pdf

id	ump-26627
recordtype	eprints
spelling	ump-266272020-02-26T07:56:29Z http://umpir.ump.edu.my/id/eprint/26627/ Random forest age estimation model based on length of left hand bone for Asian population Mohd Faaizie, Darmawan Ahmad Firdaus, Zainal Abidin Shahreen, Kasim Sutikno, Tole Budiarto, Rahmat GN Anthropology QA76 Computer software RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine TK Electrical engineering. Electronics Nuclear engineering In forensic anthropology, age estimation is used to ease the process of identifying the age of a living being or the body of a deceased person. Nonetheless, the specialty of the estimation models is solely suitable to a specific people. Commonly, the models are inter and intra-observer variability as the qualitative set of data is being used which results the estimation of age to rely on forensic experts. This study proposes an age estimation model by using length of bone in left hand of Asian subjects range from newborn up to 18-year-old. One soft computing model, which is Random Forest (RF) is used to develop the estimation model and the results are compared with Artificial Neural Network (ANN) and Support Vector Machine (SVM), developed in the previous case studies. The performance measurement used in this study and the previous case study are R-square and Mean Square Error (MSE) value. Based on the results produced, the RF model shows comparable results with the ANN and SVM model. For male subjects, the performance of the RF model is better than ANN, however less ideal than SVM model. As for female subjects, the RF model overperfoms both ANN and SVM model. Overall, the RF model is the most suitable model in estimating age for female subjects compared to ANN and SVM model, however for male subjects, RF model is the second best model compared to the both models. Yet, the application of this model is restricted only to experimental purpose or forensic practice. Institute of Advanced Engineering and Science (IAES) 2020-02 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/26627/1/Random%20forest%20age%20estimation%20model%20based%20on%20length.pdf Mohd Faaizie, Darmawan and Ahmad Firdaus, Zainal Abidin and Shahreen, Kasim and Sutikno, Tole and Budiarto, Rahmat (2020) Random forest age estimation model based on length of left hand bone for Asian population. International Journal of Electrical and Computer Engineering (IJECE), 10 (1). pp. 549-558. ISSN 2088-8708 http://doi.org/10.11591/ijece.v10i1.pp549-558 http://doi.org/10.11591/ijece.v10i1.pp549-558
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	GN Anthropology QA76 Computer software RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	GN Anthropology QA76 Computer software RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine TK Electrical engineering. Electronics Nuclear engineering Mohd Faaizie, Darmawan Ahmad Firdaus, Zainal Abidin Shahreen, Kasim Sutikno, Tole Budiarto, Rahmat Random forest age estimation model based on length of left hand bone for Asian population
description	In forensic anthropology, age estimation is used to ease the process of identifying the age of a living being or the body of a deceased person. Nonetheless, the specialty of the estimation models is solely suitable to a specific people. Commonly, the models are inter and intra-observer variability as the qualitative set of data is being used which results the estimation of age to rely on forensic experts. This study proposes an age estimation model by using length of bone in left hand of Asian subjects range from newborn up to 18-year-old. One soft computing model, which is Random Forest (RF) is used to develop the estimation model and the results are compared with Artificial Neural Network (ANN) and Support Vector Machine (SVM), developed in the previous case studies. The performance measurement used in this study and the previous case study are R-square and Mean Square Error (MSE) value. Based on the results produced, the RF model shows comparable results with the ANN and SVM model. For male subjects, the performance of the RF model is better than ANN, however less ideal than SVM model. As for female subjects, the RF model overperfoms both ANN and SVM model. Overall, the RF model is the most suitable model in estimating age for female subjects compared to ANN and SVM model, however for male subjects, RF model is the second best model compared to the both models. Yet, the application of this model is restricted only to experimental purpose or forensic practice.
format	Article
author	Mohd Faaizie, Darmawan Ahmad Firdaus, Zainal Abidin Shahreen, Kasim Sutikno, Tole Budiarto, Rahmat
author_facet	Mohd Faaizie, Darmawan Ahmad Firdaus, Zainal Abidin Shahreen, Kasim Sutikno, Tole Budiarto, Rahmat
author_sort	Mohd Faaizie, Darmawan
title	Random forest age estimation model based on length of left hand bone for Asian population
title_short	Random forest age estimation model based on length of left hand bone for Asian population
title_full	Random forest age estimation model based on length of left hand bone for Asian population
title_fullStr	Random forest age estimation model based on length of left hand bone for Asian population
title_full_unstemmed	Random forest age estimation model based on length of left hand bone for Asian population
title_sort	random forest age estimation model based on length of left hand bone for asian population
publisher	Institute of Advanced Engineering and Science (IAES)
publishDate	2020
url	http://umpir.ump.edu.my/id/eprint/26627/ http://umpir.ump.edu.my/id/eprint/26627/ http://umpir.ump.edu.my/id/eprint/26627/ http://umpir.ump.edu.my/id/eprint/26627/1/Random%20forest%20age%20estimation%20model%20based%20on%20length.pdf
first_indexed	2023-09-18T22:41:34Z
last_indexed	2023-09-18T22:41:34Z
_version_	1777416949369667584

Random forest age estimation model based on length of left hand bone for Asian population

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