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September 23, 2025Open Access

Forecasting Long-Term Drinking Status for Individuals Treated for Alcohol Dependence: A Bayesian Approach

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Authors

DGDurai Murukan GunasekaranVBVS BinuAKArun Kandasamy

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Overview

Cohort study predicts long-term alcohol consumption status in treated individuals, highlighting treatment response factors.

Key Points

  • Around 70% accuracy was observed using a model with predictors including age and treatment response.
  • Initial treatment response, monitored over four months, was critical in predicting long-term outcomes.
  • Long-term alcohol consumption status was successfully evaluated using the Bayesian prediction model.
  • Variables beyond baseline information are essential to understand long-term outcomes in alcohol treatment.

Cite This Study

Gunasekaran et al. (2025) studied this question.

synapsesocial.com/papers/68d475a031b076d99fa6dd1fhttps://doi.org/10.21203/rs.3.rs-7489427/v1
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