An ensemble method for extracting adverse drug events from social media

Conclusions Our experimental results indicate that ADE extraction from social media can benefit from feature selection. With respect to the effectiveness of different feature subsets, lexical features and semantic features can enhance the ADE extraction capability. Kernel-based approaches, which can stay away from the feature sparsity issue, are qualified to address the ADE extraction problem. Combining different individual classifiers using suitable combination methods can further enhance the ADE extraction effectiveness.

Source: Artificial Intelligence in Medicine - June 5, 2016 Category: Bioinformatics Source Type: research