Article

Evaluating The Effectiveness Of Graph Convolutional Network For Detection Of Polypharmacy Side Effects

2023-08-04

Abstract excerpt

Polypharmacy is frequently used to treat numerous illnesses; however, it might have unintended consequences. Recent research using graph convolutional networks (GCNs) has demonstrated promising results in the difficult problem of polypharmacy side effect detection. Using accuracy (ACC), area under the receiver operating characteristic curve (AUC), and F1-score, this study presents a GCN-based model for detecting p...

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Literature Corpus work: 0f094c4b-7a7f-509e-80cd-6a3b43e5b64c
DOI: 10.21203/rs.3.rs-3202996/v1

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