Application of the injury scales in homicides

Li, Feng; Liu, Sihai; Lu, Xuesong; Ou, Ying; Yip, Paul S. F.

doi:10.1016/j.forsciint.2018.09.010

Cited by 13 publications

(7 citation statements)

References 24 publications

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“…América Latina no es la excepción, según el informe de la ONU en 2019 [1][2], la cifra de homicidios es de 6.7 personas asesinadas por cada 100.000 habitantes [3]. El papel en este tema de la política judicial, la fiscalía y el gobierno de cada país se centra en enfocar toda su atención para el control del crimen violento [4].…”

Section: Introductionunclassified

Detección de tendencias de homicidios en Colombia usando Machine Learning

2019

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En las últimas décadas, el número de homicidios violentos en América Latina ha crecido considerablemente debido a la ampliación y auge de grupos criminales organizados en zonas rurales y urbanas de las principales ciudades de países como México, Colombia y Venezuela. Con base en el alto índice de homicidio de estos países, consecuencia de la alta criminalidad, éstos han sido clasificados dentro de los más violentos a nivel mundial. Según datos reportados por el Observatorio del Delito de la Policía Nacional y la Fiscalía General de la Nación de Colombia, en 2019 se presentaron 1.032 asesinatos en Bogotá. Estos datos arrojan una tasa de 14,3 homicidios por cada 100.000 habitantes. A partir de esto, se estima que entre 1960 y 2019 se han generado alrededor de 226.215 homicidios, unas 3,834 muertes por año, en promedio. En este trabajo se presenta un modelo de machine learning basado en random forest, el cual permite predecir las tendencias de homicidio violento (HV) en Colombia para los próximos 5 años. El proyecto tiene como objetivo servir de instrumento para facilitar la toma de decisiones en organismos como la Fiscalía General de la Nación y la Policía Nacional. El modelo fue evaluado con un conjunto de datos generado a partir del Sistema de Información Estadístico Delincuencial, Contravencional y Operativo (SIEDCO) de la Fiscalía, el cual cuenta con 2.662.402 registros de delitos realizados en Colombia desde el año 1960 hasta 2019.

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Detección de tendencias de homicidios en Colombia usando Machine Learning

2019

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“…The Sum of AIS (SAIS) is calculated by adding together the AIS scores for all injuries sustained by a victim [ 14 ]. There are also variants of the SAIS in which only injuries to specific body parts are added, such as the SAIS face [ 13 ]. Using injury severity scores, previous studies have found changes in injury severity over time [ 16 , 23 ] and associations between injury severity and the victim–offender relationship [ 13 ], as well as other homicide characteristics [ 25 ].…”

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confidence: 99%

“…There are also variants of the SAIS in which only injuries to specific body parts are added, such as the SAIS face [ 13 ]. Using injury severity scores, previous studies have found changes in injury severity over time [ 16 , 23 ] and associations between injury severity and the victim–offender relationship [ 13 ], as well as other homicide characteristics [ 25 ]. Thus, injury scores have proven to be useful in homicide research and facilitate a scientific approach to this aspect of criminology.…”

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confidence: 99%

“…Such ambiguities have a negative effect on interrater reliability and complicate comparisons between studies. To make injury severity measurements more objective, some homicide studies have used injury severity scores, which are normally used in general trauma research [12][13][14][15][16]. Injury severity scores are derived from various methods that use a single number to quantify a person's injuries.…”

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confidence: 99%

“…Other studies have used injury severity scores designed specifically for homicide victims [13][14][15][16][23][24][25]. The Homicide Injury Scale (HIS) is a sixgrade scale that takes into account both the cause of death and the severity of related injuries [25].…”

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confidence: 99%

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Association between homicide injury severity and benzodiazepine influence

Tamsen

Sturup

Thiblin

2020

Forensic Sciences Research

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There are case reports of offenders inflicting excessive injuries on their victims when under the influence of benzodiazepines. However, the potential association between benzodiazepine influence on the offender and victim injury severity in a general homicide population has not been studied. We investigated associations between offender positive testing for benzodiazepines or z-drugs (zolpidem, zopiclone and zaleplon) and victim injury severity. Data were drawn from 95 Swedish homicide cases from 2007–2009 in which offenders had known toxicology. There were no significant differences in injury severity between cases in which the offender tested positive vs. negative for benzodiazepines/z-drugs. Thus, the findings do not support the hypothesis that there is an association between benzodiazepine influence on the offender and victim injury severity in a general homicide population. Key points Some previous studies have linked benzodiazepines to aggression, violence and excessive homicide injuries. The present study analysed the association between homicide injury severity and benzodiazepine status of the offender. Offenders who tested positive for benzodiazepines did not inflict more severe injuries on their victims. These findings do not support the hypothesis that benzodiazepine influence generally causes offenders to inflict more severe injuries on homicide victims.

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How to make adjustments of underreporting of suicide by place, gender, and age in China?

Yip

2020

Soc Psychiatry Psychiatr Epidemiol

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Application of the injury scales in homicides

Cited by 13 publications

References 24 publications

Detección de tendencias de homicidios en Colombia usando Machine Learning

Detección de tendencias de homicidios en Colombia usando Machine Learning

Association between homicide injury severity and benzodiazepine influence

How to make adjustments of underreporting of suicide by place, gender, and age in China?

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