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

Pablo Torres-Carrión, Ruth Reátegui, Byron Bustamante, Jorge Gordón, María José Boada, Pablo Ruisoto

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaApplied Technologies - 1st International Conference, ICAT 2019, Proceedings
EditoresMiguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
EditorialSpringer
Páginas39-52
Número de páginas14
ISBN (versión impresa)9783030425197
DOI
EstadoPublicada - 1 ene 2020
Evento1st International Conference on Applied Technologies, ICAT 2019 - Quito, Ecuador
Duración: 3 dic 20195 dic 2019

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1194 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia1st International Conference on Applied Technologies, ICAT 2019
País/TerritorioEcuador
CiudadQuito
Período3/12/195/12/19

Nota bibliográfica

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Huella

Profundice en los temas de investigación de 'Application of Techniques Based on Artificial Intelligence for Predicting the Consumption of Drugs and Substances. A Systematic Mapping Review'. En conjunto forman una huella única.

Citar esto