By Hanna C., The Science Times, August 14, 2020
Substance abuse has been an increasing problem among homeless youth in the United States. A team from Penn State, Pennsylvania, recently developed an artificial intelligence algorithm that predicts homeless youths' susceptibility to substance abuse.
Researchers from the College of Information Science and Technology also believe it is best to create personalized rehabilitation programs for the youth with the highest susceptibility to drug abuse. Although a lot of programs all over the country already exist, they are not necessarily effective because they lack environmental and psychological contexts that are associated with the development of drug addiction.
Developing AI and machine learning solutions would have sets of automated data associated with homeless use dealing with substance use. This would help policymakers develop effective programs and policies in a principled manner, says Maryan Tabar. Their research will be presented at the Knowledge Discovery in Databases at the end of August.
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