Abstract
Chronotanatodiagnosis is the set of observations and techniques that allow indicating the time interval in which the death process has most likely occurred. The estimation of this interval, known as PMI (post-mortem interval), is perhaps one of the most complicated tasks in forensic medicine.
The support of computer tools available to a forensic pathologist in our country to date death is scarce or null in some cases. In this article, we present the development of a prototype of a comprehensive database system (SIBDaCAr) that could help establishing the PMI and that can be used in the context of our country.
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Unified Modeling Language.
References
Maldonado, A.L.: La data de la muerte, un desafío no resuelto. Revista Española de Medicina Legal (2010)
Trezza, F.C.: La data de la muerte. Las trasformaciones cadavéricas. Ediciones Argentinas, Buenos Aires (2006)
Henssge, C., Madea, B.: Estimation of the time since death. Forensic Sci. Int. 165(2–3), 182–184 (2007)
Vidoli, G.M., Beasley, M.M., Jantz, L.M., Devlin, J.B., Steadman, D.W.: The future of taphonomic research. In: Estimation of the Time since Death: Current Research and Future Trends, pp. 251–261 (2020)
Hayman, J., Oxenham, M.: Estimation of the time since death in decomposed bodies found in Australian conditions. Aust. J. Forensic Sci. 49(1), 31–44 (2017)
Wilk, L., et al.: Reconstructing the time since death using noninvasive thermometry and numerical analysis. Sci. Adv. 6(22), eaba4243 (2020)
Azar, P., Ruano, D., Maldonado, A., Herrera, N., Jaume, D., Martínez, M.: SIBDaCAr: Un Prototipo de Sistema de Cronotanatodiagnóstico para la República Argentina. XXVIII Congreso Argentino de Ciencias de la Computación, 588–597 (2022). ISBN 978-987-1364-31-2
Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley (1999)
Acknowledgments
We would like to thank Dr. Inés Aparici (Poder Judicial de Tierra del Fuego), to Dr. José Gálvez (Instituto Médico Forense del Poder Judicial de Corrientes) and to Dr. Moisés Dib (Instituto de Medicina Forense de Córdoba) for the collaboration received for the development of this work.
This work was partially supported by the Universidad Nacional de San Luis, Argentina, grant PROICO 03-0918, MATH AmSud, grant 21-MATH-05, Agencia I+D+T+i, Argentina, grant PICT 2020-Serie A-00549, and Facultad de Ciencias Físico Matemáticas y Naturales, UNSL, Argentina, Proy D+i, Estudio Analítico y Computacional de la Cronotanatología, Res 087-21.
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Azar, P., Ruano, D., Maldonado, A., Herrera, N., Jaume, D.A., Martínez, M. (2023). SIBDaCAr: A Chronotanatodiagnostic System Prototype for the Republic of Argentina. In: Pesado, P. (eds) Computer Science – CACIC 2022. CACIC 2022. Communications in Computer and Information Science, vol 1778. Springer, Cham. https://doi.org/10.1007/978-3-031-34147-2_16
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