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Chunk #37 — Fig. 1

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Predicting alcohol use disorder remission: a longitudinal multimodal multi-featured machine learning approach.
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Model accuracy stratified by sex and ancestry.Prediction obtained by only the PRS, the combined EEG and PRS, and features from the highest accuracy scored model for every group (Table 1). Results indicate higher accuracy for the combined feature models suggesting the advantage of adding phenotypes to genetic prediction models. The error bars are standard deviations. *p < 0.05, **p < 0.01.