Predicting drug side effects based on link prediction in bipartite network | IEEE Conference Publication | IEEE Xplore

Predicting drug side effects based on link prediction in bipartite network


Abstract:

To pursue a new approach for discovering new side effects of drugs, we construct a drug-side effect network based on the SIDER2 database, and introducing link prediction ...Show More

Abstract:

To pursue a new approach for discovering new side effects of drugs, we construct a drug-side effect network based on the SIDER2 database, and introducing link prediction methods in the network. We develop and evaluate the framework for drug side effect prediction based on link prediction in bipartite network. Integrating side effect appearance frequency has also been proved to be of value in improving the performance of drug side effect prediction.
Date of Conference: 14-16 October 2014
Date Added to IEEE Xplore: 08 January 2015
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Conference Location: Dalian, China

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