| Título: | Identification of Patterns of Fatal Injuries in Humans through Big Data |
| Autores: | Silva, Jesus ; Romero, Ligia ; Pineda, Omar Bonerge ; Herazo-Beltran, Yaneth ; Zilberman, Jack |
| Tipo de documento: | texto impreso |
| Editorial: | Elsevier BV, 2020-05-25T14:56:47Z |
| Dimensiones: | application/pdf |
| Nota general: |
170 893-898 info:eu-repo/semantics/openAccess Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ |
| Idiomas: | Inglés |
| Palabras clave: | Facultad de Negocios , Pregrado , Artículos científicos , Administración y Finanzas |
| Resumen: | External cause injuries are defined as intentionally or unintentionally harm or injury to a person, which may be caused by trauma, poisoning, assault, accidents, etc., being fatal (fatal injury) or not leading to death (non-fatal injury). External injuries have been considered a global health problem for two decades. This work aims to determine criminal patterns using data mining techniques to a sample of patients from Mumbai city in India. |
| En línea: | 1877-0509 |
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