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The effects of antidepressants on weight differ depending on the medication class and individual response

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DOI:10.1016/j.cell.2006.08.019 [Google Scholar] Goto Y, Uematsu S, Kiyono H

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The SVM model, especially the SVM model after WT-TC-CARS pretreatment and GSA parameter optimization performed well in improving classification accuracy (WT-TC-CARS- GSA-SVM), with an average classification accuracy of 91.8% on the test set, and the precision, recall, and F1-score were 90.3%, 90.3% and 0.9, respectively, which outperforms the original model by 8.3% in accuracy, 8.2% in precision, 7.5% in recall, and 0.08 in F1-score

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