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

doi:10.1007/978-3-030-42520-3_4

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

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión 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 original	Inglés
Título de la publicación alojada	Applied Technologies - 1st International Conference, ICAT 2019, Proceedings
Editores	Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Editorial	Springer
Páginas	39-52
Número de páginas	14
ISBN (versión impresa)	9783030425197
DOI	https://doi.org/10.1007/978-3-030-42520-3_4
Estado	Publicada - 1 ene. 2020
Evento	1st International Conference on Applied Technologies, ICAT 2019 - Quito, Ecuador Duración: 3 dic. 2019 → 5 dic. 2019

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1194 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	1st International Conference on Applied Technologies, ICAT 2019
País/Territorio	Ecuador
Ciudad	Quito
Período	3/12/19 → 5/12/19

Nota bibliográfica

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1007/978-3-030-42520-3_4

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Citar esto

Torres-Carrión, P., Reátegui, R., Bustamante, B., Gordón, J., Boada, M. J., & Ruisoto, P. (2020). Application of Techniques Based on Artificial Intelligence for Predicting the Consumption of Drugs and Substances. A Systematic Mapping Review. En M. Botto-Tobar, M. Zambrano Vizuete, P. Torres-Carrión, S. Montes León, G. Pizarro Vásquez, & B. Durakovic (Eds.), Applied Technologies - 1st International Conference, ICAT 2019, Proceedings (pp. 39-52). (Communications in Computer and Information Science; Vol. 1194 CCIS). Springer. https://doi.org/10.1007/978-3-030-42520-3_4

Torres-Carrión, Pablo ; Reátegui, Ruth ; Bustamante, Byron et al. / Application of Techniques Based on Artificial Intelligence for Predicting the Consumption of Drugs and Substances. A Systematic Mapping Review. Applied Technologies - 1st International Conference, ICAT 2019, Proceedings. editor / Miguel Botto-Tobar ; Marcelo Zambrano Vizuete ; Pablo Torres-Carrión ; Sergio Montes León ; Guillermo Pizarro Vásquez ; Benjamin Durakovic. Springer, 2020. pp. 39-52 (Communications in Computer and Information Science).

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title = "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.",

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author = "Pablo Torres-Carri{\'o}n and Ruth Re{\'a}tegui and Byron Bustamante and Jorge Gord{\'o}n and Boada, {Mar{\'i}a Jos{\'e}} and Pablo Ruisoto",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 1st International Conference on Applied Technologies, ICAT 2019 ; Conference date: 03-12-2019 Through 05-12-2019",

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doi = "10.1007/978-3-030-42520-3_4",

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Torres-Carrión, P, Reátegui, R, Bustamante, B, Gordón, J, Boada, MJ & Ruisoto, P 2020, Application of Techniques Based on Artificial Intelligence for Predicting the Consumption of Drugs and Substances. A Systematic Mapping Review. En M Botto-Tobar, M Zambrano Vizuete, P Torres-Carrión, S Montes León, G Pizarro Vásquez & B Durakovic (eds.), Applied Technologies - 1st International Conference, ICAT 2019, Proceedings. Communications in Computer and Information Science, vol. 1194 CCIS, Springer, pp. 39-52, 1st International Conference on Applied Technologies, ICAT 2019, Quito, Ecuador, 3/12/19. https://doi.org/10.1007/978-3-030-42520-3_4

Application of Techniques Based on Artificial Intelligence for Predicting the Consumption of Drugs and Substances. A Systematic Mapping Review. / Torres-Carrión, Pablo; Reátegui, Ruth; Bustamante, Byron et al.
Applied Technologies - 1st International Conference, ICAT 2019, Proceedings. ed. / Miguel Botto-Tobar; Marcelo Zambrano Vizuete; Pablo Torres-Carrión; Sergio Montes León; Guillermo Pizarro Vásquez; Benjamin Durakovic. Springer, 2020. p. 39-52 (Communications in Computer and Information Science; Vol. 1194 CCIS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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AU - Torres-Carrión, Pablo

AU - Reátegui, Ruth

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AU - Boada, María José

AU - Ruisoto, Pablo

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BT - Applied Technologies - 1st International Conference, ICAT 2019, Proceedings

A2 - Botto-Tobar, Miguel

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Torres-Carrión P, Reátegui R, Bustamante B, Gordón J, Boada MJ, Ruisoto P. Application of Techniques Based on Artificial Intelligence for Predicting the Consumption of Drugs and Substances. A Systematic Mapping Review. En Botto-Tobar M, Zambrano Vizuete M, Torres-Carrión P, Montes León S, Pizarro Vásquez G, Durakovic B, editores, Applied Technologies - 1st International Conference, ICAT 2019, Proceedings. Springer. 2020. p. 39-52. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-42520-3_4

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

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