A machine learning approach to college drinking prediction and risk factor identification
Jinbo Bi; Jiangwen Sun; Yu‐Wei Wu; Howard Tennen; Stephen Armeli · 2013 · ACM Transactions on Intelligent Systems and Technology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Alcohol misuse is one of the most serious public health problems facing adolescents and young adults in the United States. National statistics shows that nearly 90% of alcohol consumed by youth under 21 years of age involves binge drinking…
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Metadata source: OpenAlex · DOI 10.1145/2508037.2508053