title: Automated Summarization of Publications Associated with Adverse Drug Reactions from PubMed.
abstract: Academic literature provides rich and up-to-date information concerning adverse drug reactions (ADR), but it is time consuming and labor intensive for physicians to obtain information of ADRs from academic literature because they would have to generate queries, review retrieved articles and summarize the results. In this study, a method is developed to automatically detect and summarize ADRs from journal articles, rank them and present them to physicians in a user-friendly interface. The method studied ADRs for 6 drugs and returned on average 4.8 ADRs that were correct. The results demonstrated this method was feasible and effective. This method can be applied in clinical practice for assisting physicians to efficiently obtain information about ADRs associated with specific drugs. Automated summarization of ADR information from recent publications may facilitate translation of academic research into actionable information at point of care.
authors: Columbia University, New York, NY.
authors: Joseph
authors: J
authors: Finkelstein
authors: Columbia University, New York, NY.
authors: Qinlang
authors: Q
authors: Chen
authors: Stony Brook University, NY.
authors: Hayden
authors: H
authors: Adams
authors: Columbia University, New York, NY.
authors: Carol
authors: C
authors: Friedman