Identification of patterns of fatal injuries in humans through big data
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 proble...
- Autores:
-
Silva, Jesus
Zilberman, Jack
Romero Marin, Ligia Cielo
Pineda, Omar
Herazo-Beltran, Yaneth
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7798
- Acceso en línea:
- https://hdl.handle.net/11323/7798
https://doi.org/10.1016/j.procs.2020.03.114
https://repositorio.cuc.edu.co/
- Palabra clave:
- Recognition of automated standards
mining
decision trees
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
| Summary: | 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. |
|---|