Application of Techniques Based on Artificial Intelligence for Predicting the Consumption of Drugs and Substances. A Systematic Mapping Review


Abstract:

The consumption of alcohol, drugs and substances constitutes one of the most serious public health problems worldwide, in particular due to the social consequences related to violence, abandonment of studies, family disintegration and the great problem of drug trafficking that is strengthened at the increase consumption. In addition, Artificial Intelligence is consolidating as an area of ​​interdisciplinary knowledge, helping with the agile relationship of variables and indicators, which facilitates the discovery of behavioral patterns of human and material entities. From this perspective, the present investigation is proposed, which details universal indicators regarding the research carried out in the conjunction of these areas of knowledge. A systematic search has been carried out of scientific articles of journals indexed in the Scopus and WoS databases. There is an exhibition organized by subareas, countries, researchers, problems raised, regarding scientific production to facilitate possible future research in these areas.

Año de publicación:

2020

Keywords:

  • Consumption of drugs
  • Artificial Intelligence
  • Systematic mapping review
  • Pbkp_rediction models

Fuente:

scopusscopus
googlegoogle
orcidorcid

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Inteligencia artificial
  • Psicopatología

Áreas temáticas de Dewey:

  • Programación informática, programas, datos, seguridad
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 3: Salud y bienestar
  • ODS 16: Paz, justicia e instituciones sólidas
  • ODS 9: Industria, innovación e infraestructura
Procesado con IAProcesado con IA