and demographic as predisposition characteristics to predict AUD remission. EEG measurements, especially resting-state functional connectivity (EEG-FC) have been shown to be a reliable diagnostic tool and classifier in AUD and other brain disorders such as post-traumatic stress disorder, and bipolar disorder10. Polygenic risk scores (PRS), which summarize the effects of genome-wide association study (GWAS) markers to measure the genetic liability to a trait or a disorder, have shown promise in predicting human complex traits and diseases11,12. Several GWAS studies tested alcohol-related PRS for association with AUD phenotypes, using PRS related to risky behaviors, alcohol-use problems, and alcohol consumption with encouraging results13,14. We also tested demographic features including marital and employment status which have been found to be associated with a reduction in alcohol consumption and remission1 from AUD. Current medication intake was added as a potential feature to the calculated AUD remission predictive model. Alcohol misuse targets areas of the brain, altering mental states such as emotion15 and cognition16, thus affecting an individual’s capability to cope with the challenges involved in the relapse/recovery processes17. Medication can restore brain regulation abilities, potentially strengthening and stabilizing individual mental abilities, thus supporting AUD remission. The substantial impact that marital and occupational status has
