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The worst performing method was Decision Trees with an accuracy of 0.675, precision of 0.571, recall of 0.599, F1 score of 0.570 and ROC-AUC of 0.654 Conclusion: Using machine learning methods, we were able to predict the presence of fatty liver disease with high accuracy, precision, and recall

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Melatonins potential to strengthen the BBB appears to involve the upregulation of tight junction proteins, including claudin-5, zonula occludens-1, and occluding [191], which help shield the brain from harmful substances in the bloodstream [192]

PMID: 84 SchudelAFrancisDMThomasSN