01815nas a2200241   4500000000100000000000100001008004100002260001200043653001400055653002800069653001700097653002800114653001900142100001800161700002900179700003900208245011500247856008100362300000800443490001300451520109500464022001401559       9998                            d  c02/202410aAddiction10aArtificial Intelligence10aHomelessness10aPsychoactive Substances10aSocial Justice1 aHugo Ordoñez1 aRicardo Timarán-Pereira1 aJuan-Sebastián González-Sanabria00aTrends in Addiction to Psychoactive Substances Among Homeless People in Colombia Using Artificial Intelligence  uhttps://www.ijimai.org/journal/sites/default/files/2024-02/ip2024_02_002.pdf  a1-90 vIn press3 aIntroduction: Currently, homelessness should not be seen as just another problem, but as a reality of inequality and the absence of social justice. In this sense, homeless people are subjected to social disengagement, lack of job opportunities or the instability of these, insecurity circumstances, these aspects being one of the causes associated with the consumption or addiction to psychoactive substances. Data: To define the proposed approach, data from the Census of Street Inhabitants - CHC- 2021 of the National Administrative Department of Statistics (DANE), which contains 19,375 records and 25 columns, were used. Methodology: This article presents an artificial intelligence approach that implements a model based on machine learning algorithms for identifying addiction trends to psychoactive substances in street dwellers in Colombia. Conclusions: Based on the results obtained, it is evident that the approach can serve as a support for decision making by municipal administrations in the definition of social public policies for the street-dwelling population in Colombia.
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