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.
|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|
|Number of pages||14|
|State||Published - 1 Jan 2020|
|Event||1st International Conference on Applied Technologies, ICAT 2019 - Quito, Ecuador|
Duration: 3 Dec 2019 → 5 Dec 2019
|Name||Communications in Computer and Information Science|
|Conference||1st International Conference on Applied Technologies, ICAT 2019|
|Period||3/12/19 → 5/12/19|
Bibliographical notePublisher Copyright:
© 2020, Springer Nature Switzerland AG.
- Artificial intelligence
- Consumption of drugs
- Prediction models
- Systematic mapping review