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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Applied Technologies - 1st International Conference, ICAT 2019, Proceedings
Editors	Miguel Botto-Tobar, Marcelo Zambrano Vizuete, Pablo Torres-Carrión, Sergio Montes León, Guillermo Pizarro Vásquez, Benjamin Durakovic
Publisher	Springer
Pages	39-52
Number of pages	14
ISBN (Print)	9783030425197
DOIs	https://doi.org/10.1007/978-3-030-42520-3_4
State	Published - 1 Jan 2020
Event	1st International Conference on Applied Technologies, ICAT 2019 - Quito, Ecuador Duration: 3 Dec 2019 → 5 Dec 2019

Publication series

Name	Communications in Computer and Information Science
Volume	1194 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	1st International Conference on Applied Technologies, ICAT 2019
Country/Territory	Ecuador
City	Quito
Period	3/12/19 → 5/12/19

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

Artificial intelligence
Consumption of drugs
Prediction models
Systematic mapping review

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

Cite this

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. In 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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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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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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Torres-Carrión, Pablo

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AU - Gordón, Jorge

AU - Boada, María José

AU - Ruisoto, Pablo

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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. In Botto-Tobar M, Zambrano Vizuete M, Torres-Carrión P, Montes León S, Pizarro Vásquez G, Durakovic B, editors, 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

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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