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

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. (Published)

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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.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Computational Intelligence; Age Estimation; Hand Bone; Forensic Anthropology; Fuzzy Logic
Subjects: G Geography. Anthropology. Recreation > GN Anthropology
Q Science > QA Mathematics > QA76 Computer software
R Medicine > RA Public aspects of medicine > RA1001 Forensic Medicine. Medical jurisprudence. Legal medicine
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 26 Feb 2020 07:56
Last Modified: 26 Feb 2020 07:56
URI: http://umpir.ump.edu.my/id/eprint/26627
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