참고문헌
- Divakar KP. Forensic odontology: the new dimension in dental analysis. Int J Biomed Sci 2017; 13: 1-5.
- Forrest A. Forensic odontology in DVI: current practice and recent advances. Forensic Sci Res 2019; 4: 316-30. https://doi.org/10.1080/20961790.2019.1678710
- Farhadian M, Salemi F, Saati S, Nafisi N. Dental age estimation using the pulp-to-tooth ratio in canines by neural networks. Imaging Sci Dent 2019; 49: 19-26. https://doi.org/10.5624/isd.2019.49.1.19
- Krishan K, Kanchan T, Passi N, DiMaggio JA. Heel-ball(HB) index: sexual dimorphism of a new index from foot dimensions. J Forensic Nurs 2012; 57: 172-5.
- Biwasaka H, Aoki Y, Sato K, Tanijiri T, Fujita S, Dewa K, et al. Analyses of sexual dimorphism of reconstructed pelvic computed tomography images of contemporary Japanese using curvature of the greater sciatic notch, pubic arch and greater pelvis. Forensic Sci Int 2012; 219: 288.e1-8. https://doi.org/10.1016/j.forsciint.2011.11.032
- Balci Y, Yavuz MF, Cagdir S. Predictive accuracy of sexing the mandible by ramus flexure. Homo 2005; 55: 229-37. https://doi.org/10.1016/j.jchb.2004.07.006
- Robinson MS, Bidmos MA. An assessment of the accuracy of discriminant function equations for sex determination of the femur and tibia from a South African population. Forensic Sci Int 2011; 206: 212.e1-5. https://doi.org/10.1016/j.forsciint.2010.12.009
- Gonzalez RA. Determination of sex from juvenile crania by means of discriminant function analysis. J Forensic Sci 2012; 57: 24-34. https://doi.org/10.1111/j.1556-4029.2011.01920.x
- Macaluso PJ Jr. Investigation on the utility of permanent maxillary molar cusp areas for sex estimation. Forensic Sci Med Pathol 2011; 7: 233-47. https://doi.org/10.1007/s12024-010-9204-7
- Uthman AT, Al-Rawi NH, Al-Timimi JF. Evaluation of foramen magnum in gender determination using helical CT scanning. Dentomaxillofac Radiol 2012; 41: 197-202. https://doi.org/10.1259/dmfr/21276789
- Amin W, Saleh MW, Othman D, Salhab D, Thunaibat H. Osteometric assessment of the mastoid for gender determination in Jordanians by discrimination function analysis. Am J Med Biol Res 2015; 3: 117-23.
- Kanchan T, Gupta A, Krishan K. Estimation of sex from mastoid triangle - a craniometric analysis. J Forensic Leg Med 2013; 20: 855-60. https://doi.org/10.1016/j.jflm.2013.06.016
- Bhayya H, Avinash Tejasvi ML, Jayalakshmi B, Reddy MM. Craniometric assessment of sex using mastoid process. J Indian Acad Oral Med Radiol 2018; 30: 52-7. https://doi.org/10.4103/jiaomr.jiaomr_127_17
- Gupta AD, Banerjee A, Kumar A, Rao SR, Jose J. Discriminant function analysis of mastoid measurements in sex determination. J Life Sci 2012; 4: 1-5. https://doi.org/10.1080/09751270.2012.11885187
- Kemkes A, Göbel T. Metric assessment of the "mastoid triangle" for sex determination: a validation study. J Forensic Sci 2006; 51: 985-9. https://doi.org/10.1111/j.1556-4029.2006.00232.x
- Ibrahim A, Alias A, Shafie MS, Das S, Nor FM. Osteometric estimation of sex from mastoid triangle in Malaysian population. Asian J Pharm Clin Res 2018; 11: 303-7.
- Sumati, Patnaik VV, Phatak A. Determination of sex by mastoid process by discriminant functions analysis. J Anat Soc India 2010; 59: 222-8. https://doi.org/10.1016/S0003-2778(10)80030-9
- Saini V, Srivastava R, Rai RK, Shamal SN, Singh TB, Tripathi SK. Sex estimation from the mastoid process among North Indians. J Forensic Sci 2012; 57: 434-9. https://doi.org/10.1111/j.1556-4029.2011.01966.x
- Suazo Galdames IC, Zavando Matamala DA, Smith RL. Sex determination using mastoid process measurements in Brazilian skulls. Int J Morphol 2008; 26: 941-4.
- Passey J, Mishra SR, Singh R, Sushobhna K, Singh S, Sinha P. Sex determination using mastoid process. Asian J Med Sci 2015; 6: 93-5. https://doi.org/10.3126/ajms.v6i6.12406
- Hastie T, Tibshirani R, Friedman J. The elements of statistical learning: data mining, inference, and prediction. 2nd ed. New York, NY: Springer; 2009.
- Vapnik VN. Statistical learning theory. New York: Wiley; 1998.
- Ariu D, Giacinto G, Roli F. Machine learning in computer forensics (and the lessons learned from machine learning in computer security). In: Chen Y, Cardenas AA, Greenstadt R, Rubinstein B, editors. ALSec '11: Proceedings of the 4th ACM Workshop on Security and Artificial Intelligence; 2011 Oct 17-21; Chicago, USA. New York, NY: Association for Computing Machinery: 2011; ACM, 99-104.
- Nasrabadi N. Pattern recognition and machine learning. J Electron Imaging 2007; 16: 049901. https://doi.org/10.1117/1.2819119
- Awais M, Naeem F, Rasool N, Mahmood S. Identification of sex from footprint dimensions using machine learning: a study on population of Punjab in Pakistan. Egypt J Forensic Sci 2018; 8: 72. https://doi.org/10.1186/s41935-018-0106-2
- Delen D. Analysis of cancer data: a data mining approach. Expert Syst 2009; 26: 100-12. https://doi.org/10.1111/j.1468-0394.2008.00480.x
- Aliabadi M, Farhadian M, Darvishi E. Prediction of hearing loss among the noise-exposed workers in a steel factory using artificial intelligence approach. Int Arch Occup Environ Health 2015; 88: 779-87. https://doi.org/10.1007/s00420-014-1004-z
- Sidey-Gibbons JA, Sidey-Gibbons CJ. Machine learning in medicine: a practical introduction. BMC Med Res Methodol 2019; 19: 64. https://doi.org/10.1186/s12874-019-0681-4
- Breiman L. Random forests. Mach Learn 2001; 45: 5-32. https://doi.org/10.1023/A:1010933404324
- Sujarittham S, Vichairat K, Prasitwattanaseree S, Mahakkanukrauh P. Thai human skeleton sex identification by mastoid process measurement. Chiang Mai Med J 2011; 50: 43-50.