Affiliation: Department of Computer Sciences College of Computing Science, New Jersey Institute of Technology Newark, NJ
Mining EMR and Public Databases for Adverse Drug Reaction Detection
The US public spends billions of dollars on prescription drugs every year; however striking variations exist in drug therapy as characterized by adverse drug reactions (ADRs) or drug side-effects. ADRs are defined as those unintended and undesired responses to drugs beyond their anticipated therapeutic effects during clinical use at normal doses. It is one of the major causes of failure in drug development process. Severe ADRs that go undetected until the post-marketing phase of a drug often lead to patient morbidity, as exemplified by numerous drug withdrawals with Rofecoxib (Vioxx) and Cerivastatin (Baycol) being the most prominent examples. Therefore, accurate prediction of potential ADRs is required in the entire life cycle of a drug, including early stages of drug development, different phases of clinical trials, and post-marketing surveillance. In an effort to address this problem, we explored the use of laboratory and retrospective medication order data of 1.9 million individuals in the Vanderbilt University Medical Center (VUMC) electronic medical record (EMR) system to ascertain ADRs. Using laboratory signals for drug safety studies may reduce errors caused by biased reporting, which has the potential to support active clinical drug surveillance. We also proposed to predict ADRs by integrating three different types of drug information from public databases: (1) chemical structures, (2) biological properties (i.e., protein targets, pathways), and (3) phenotypic characteristics (i.e., indications, other known side effects). The data fusion approach was shown to be promising for large-scale ADR predictions in both preclinical and post-marketing phases.
Dr. Mei Liu is currently an assistant professor in the Computer Science Department at New Jersey Institute of Technology. Prior to joining NJIT, she was a National Library of Medicine (NLM) postdoctoral fellow in the Department of Biomedical Informatics at Vanderbilt University from 2009 to 2012. Dr. Mei Liu received her Ph.D in computer science from the University of Kansas. Her research interest includes biomedical data mining, clinical informatics and bioinformatics.