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Chunk #22 — 3. Results — 3.3. Top Significant Features Contributed to the Classification — 3.3.2. Recent Alcohol Consumption and Health Outcomes

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Predicting Alcohol-Related Memory Problems in Older Adults: A Machine Learning Study with Multi-Domain Features.
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Significant alcohol-related health outcome variables that contributed to differentiating memory individuals from the control subjects included (i) alcohol-related health problems in the past 5 years (Memorymean = 0.77; Controlmean = 0.01), (ii) alcohol withdrawal symptoms in the past 5 years (Memorymean = 1.20; Controlmean = 0.11), (iii) negative experiences related to alcohol consumption in the past 5 years (Memorymean = 2.65; Controlmean = 0.78), and (iv) the largest number of drinks within 24 h during the past 12 months (Memorymean = 13.64; Controlmean = 6.00). Interestingly, the features concerning alcohol-related outcomes over the past 10 years, physical health outcomes, other drinking patterns, and demographic variables were not significant.