Description of Collaborative Activity: |
IAA between FDA’s Center for Drug Evaluation and Research (CDER) and the Lister Hill National Center for Biomedical Communications (LHNCBC) at NLM was renewed in 2019. The collaboration delivers monthly MEDLINE dataset files derived from the Medical Subject Heading (MeSH) indexing (resulting from a 2012 FDA/CDER – NIH/NLM/LHNCBC IAA research collaboration) to harness MEDLINE support of prospective detection of drug-adverse event safety signals (DAESS) from published scientific literature. CDER develops analytic informatics tools to access and analyze new data sources for DAESS detection. PEARL (Prospective Detection of Emerging Drug-Adverse Event Safety Signals from Relevant Scientific Literature through Quantitative Data Mining of MEDLINE Indexing Terms) is a prototype automated, web-based data mining and visual analytics tool that supports detection of DAESS from published literature reports in MEDLINE. MEDLINE dataset file refreshes occur monthly so PEARL data mining and safety signal detection outputs reflect the most current subset of MeSH-indexed citations in PubMed. |
