' s response to reviews Title : A Pipeline To Extract Drug-Adverse Event Pairs From Multiple Data Sources

By Aditya Rao, V. Saipradeep, Rajgopal Srinivasan. 2013

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Abeed Sarker
2. Azadeh Nikfarjam
3. Rachel E. Ginn
4. Karen O'Connor
5. Karen L. Smith
6. Graciela Gonzalez-Hernandez
7. S. Jayaraman
8. Tejaswi Upadhaya

Citations in the corpus

• Utilizing Social Media Data for Pharmacovigilance: A Review (2015, methodology): “It has also been a popular resource for building lexicons for ADR detection [40,54,57].”
• Portable Automatic Text Classification for Adverse Drug Reaction Detection via Multi-corpus Training (2014, background): “…focused on combining information from multiple sources such as the combination/enrichment of information gathered from spontaneous reporting systems with literature findings [19, 20, 21], electronic health records [18], and chemical similarity [22], and even user posted data on social media [21].”