Application of Natural Language Processing and Network Analysis Techniques to Post-market Reports for the Evaluation of Dose-related Anti-Thymocyte Globulin Safety Patterns.

Journal: Applied clinical informatics

Published Date: Apr 26, 2017

OBJECTIVE: To evaluate the feasibility of automated dose and adverse event information retrieval in supporting the identification of safety patterns.

Taxiarchis Botsis

Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, United States. Electronic address: Taxiarchis.Botsis@fda.hhs.gov.
Matthew Foster

Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, United States.
Nina Arya
Kory Kreimeyer

Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, United States.
Abhishek Pandey

Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, United States.
Deepa Arya

Adverse Drug Reaction Reporting Systems Antilymphocyte Serum Data Mining Dose-Response Relationship, Drug Feasibility Studies Humans Natural Language Processing Safety Time Factors

View on PubMed Access via DOI PubMed (28447098)