Using already-solved cases of a mass disaster event for prioritizing the search among remaining victims: a Bayesian approach
| Autor: | Carlos Somigliana, Enrique Ernesto Álvarez, Mercedes Salado Puerto, Inés Caridi |
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| Rok vydání: | 2020 |
| Předmět: |
Identifcation process
0301 basic medicine Non-genetic variables Computer science Process (engineering) Bayesian probability lcsh:Medicine Article Non-genetic Variables purl.org/becyt/ford/1 [https] Missing persons 03 medical and health sciences 0302 clinical medicine Bayesian technique 030216 legal & forensic medicine lcsh:Science Mass disaster Matemática Multidisciplinary Event (computing) lcsh:R Statistics purl.org/becyt/ford/1.1 [https] Applied mathematics Data science Identification (information) 030104 developmental biology Work (electrical) Missing Person Identification Bayesian Inference lcsh:Q Disaster Victim Identification |
| Zdroj: | CONICET Digital (CONICET) Consejo Nacional de Investigaciones Científicas y Técnicas instacron:CONICET SEDICI (UNLP) Universidad Nacional de La Plata instacron:UNLP Scientific Reports Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020) |
| ISSN: | 2045-2322 |
| Popis: | This work presents a new method for assisting in the identifcation process of missing persons in several contexts, such as enforced disappearances. We apply a Bayesian technique to incorporate non-genetic variables in the construction of prior information. In that way, we can learn from the already-solved cases of a particular mass event of death, and use that information to guide the search among remaining victims. This paper describes a particular application to the proposed method to the identifcation of human remains of the so-called disappeared during the last dictatorship in Argentina, which lasted from 1976 until 1983. Potential applications of the techniques presented hereby, however, are much wider. The central idea of our work is to take advantage of the already-solved cases within a certain event to use the gathered knowledge to assist in the investigation process, enabling the construction of prioritized rankings of victims that could correspond to each certain unidentifed human remains. Facultad de Ingeniería |
| Databáze: | OpenAIRE |
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