Identification of Patterns of Fatal Injuries in Humans through Big Data | Zendy

Jesus Silva | Zendy; Jack Zilberman | Zendy; Ligia Romero | Zendy; Omar Bonerge Pineda | Zendy; Yaneth Herazo-Beltrán | Zendy

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Identification of Patterns of Fatal Injuries in Humans through Big Data

Author(s) -

Jesus Silva,

Jack Zilberman,

Ligia Romero,

Omar Bonerge Pineda,

Yaneth Herazo-Beltrán

Publication year - 2020

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

ISSN - 1877-0509

DOI - 10.1016/j.procs.2020.03.114

Subject(s) - harm , identification (biology) , computer science , medical emergency , cause of death , computer security , injury prevention , occupational safety and health , medicine , poison control , pathology , disease , psychology , social psychology , botany , biology

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.

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