Blows or Falls? Distinction by Random Forest Classification
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.26/43924 https://doi.org/10.3390/biology12020206 |
Resumo: | In forensic anthropology, skeletal trauma analysis can assist pathologists in determining the circumstance, cause, and manner of death. Determining whether the trauma is related to falls or induced by homicidal blows is often asked in relevance to legal issues. The hat brim line rule (HBL) is one of the most commonly used methods. The rule says that fractures resulting from blows may be found above and within the HBL, not on the skull’s base. Recent studies have found that the HBL rule must be used carefully, and postcranial skeletal trauma could be useful in this distinction. Evidence presented in court must follow Daubert’s guidelines for validity and reliability (evidence validated; error rates known; standards available; findings should be peer-reviewed and accepted by the scientific community). In this study, we assessed skeletal fracture patterns resulting from both etiologies. We tested various models for the method; the best one was based on the binary coding of 12 anatomical regions or 28 bones with or without baseline (age and sex). The results show the possible identification of the etiology in 83% of the cases. This method could be helpful for forensic experts in the interpretation of bone fractures |
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Blows or Falls? Distinction by Random Forest ClassificationForensic scienceBlunt force traumaFallsBlowsSkeletal fracturesCT scanRandom forestsIn forensic anthropology, skeletal trauma analysis can assist pathologists in determining the circumstance, cause, and manner of death. Determining whether the trauma is related to falls or induced by homicidal blows is often asked in relevance to legal issues. The hat brim line rule (HBL) is one of the most commonly used methods. The rule says that fractures resulting from blows may be found above and within the HBL, not on the skull’s base. Recent studies have found that the HBL rule must be used carefully, and postcranial skeletal trauma could be useful in this distinction. Evidence presented in court must follow Daubert’s guidelines for validity and reliability (evidence validated; error rates known; standards available; findings should be peer-reviewed and accepted by the scientific community). In this study, we assessed skeletal fracture patterns resulting from both etiologies. We tested various models for the method; the best one was based on the binary coding of 12 anatomical regions or 28 bones with or without baseline (age and sex). The results show the possible identification of the etiology in 83% of the cases. This method could be helpful for forensic experts in the interpretation of bone fracturesinfo:eu-repo/semantics/publishedVersion2023-02-22T16:10:35Z2023-02-222023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10400.26/43924http://hdl.handle.net/10400.26/43924https://doi.org/10.3390/biology12020206engHenriques, M., Bonhomme, V., Cunha, E., & Adalian, P. (2023). Blows or Falls? Distinction by Random Forest Classification. Biology, 12(2), 206. MDPI AGhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessHenriques, MélanieBonhomme, VincentCunha, EugéniaAdalian, Pascalreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-03T04:22:24Zoai:comum.rcaap.pt:10400.26/43924Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:07:48.265190Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Blows or Falls? Distinction by Random Forest Classification |
title |
Blows or Falls? Distinction by Random Forest Classification |
spellingShingle |
Blows or Falls? Distinction by Random Forest Classification Henriques, Mélanie Forensic science Blunt force trauma Falls Blows Skeletal fractures CT scan Random forests |
title_short |
Blows or Falls? Distinction by Random Forest Classification |
title_full |
Blows or Falls? Distinction by Random Forest Classification |
title_fullStr |
Blows or Falls? Distinction by Random Forest Classification |
title_full_unstemmed |
Blows or Falls? Distinction by Random Forest Classification |
title_sort |
Blows or Falls? Distinction by Random Forest Classification |
author |
Henriques, Mélanie |
author_facet |
Henriques, Mélanie Bonhomme, Vincent Cunha, Eugénia Adalian, Pascal |
author_role |
author |
author2 |
Bonhomme, Vincent Cunha, Eugénia Adalian, Pascal |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Henriques, Mélanie Bonhomme, Vincent Cunha, Eugénia Adalian, Pascal |
dc.subject.por.fl_str_mv |
Forensic science Blunt force trauma Falls Blows Skeletal fractures CT scan Random forests |
topic |
Forensic science Blunt force trauma Falls Blows Skeletal fractures CT scan Random forests |
description |
In forensic anthropology, skeletal trauma analysis can assist pathologists in determining the circumstance, cause, and manner of death. Determining whether the trauma is related to falls or induced by homicidal blows is often asked in relevance to legal issues. The hat brim line rule (HBL) is one of the most commonly used methods. The rule says that fractures resulting from blows may be found above and within the HBL, not on the skull’s base. Recent studies have found that the HBL rule must be used carefully, and postcranial skeletal trauma could be useful in this distinction. Evidence presented in court must follow Daubert’s guidelines for validity and reliability (evidence validated; error rates known; standards available; findings should be peer-reviewed and accepted by the scientific community). In this study, we assessed skeletal fracture patterns resulting from both etiologies. We tested various models for the method; the best one was based on the binary coding of 12 anatomical regions or 28 bones with or without baseline (age and sex). The results show the possible identification of the etiology in 83% of the cases. This method could be helpful for forensic experts in the interpretation of bone fractures |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-02-22T16:10:35Z 2023-02-22 2023-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.26/43924 http://hdl.handle.net/10400.26/43924 https://doi.org/10.3390/biology12020206 |
url |
http://hdl.handle.net/10400.26/43924 https://doi.org/10.3390/biology12020206 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Henriques, M., Bonhomme, V., Cunha, E., & Adalian, P. (2023). Blows or Falls? Distinction by Random Forest Classification. Biology, 12(2), 206. MDPI AG |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799137166948827136 |