Aaron M. Cohen is an an associate professor in OHSU's Department of Medical Informatics and Clinical Epidemiology. His research interests focus on the development and application of text-mining techniques and tools for biomedical researchers. He applies information retrieval and machine learning techniques to scientific literature and databases to help researchers to more effectively use and explore the ever-expanding biomedical literature. Aaron received an M.D. from the University of Michigan, and holds a master's degree in biomedical informatics from OHSU. Current projects include the use of automated classification systems in the process of creating systematic drug reviews, and the development and evaluation of computer assisted biomedical question answering systems.
Role: Associate Professor
"The classification algorithm was developed to identify articles that are likely to be included in a systematic review update, along with an annotation scheme designed to identify the most important publications in a topic area... The algorithm looks at each article meeting the original review search criteria, and notifies the team about articles that it predicts as likely to be included in an update.
For the classification task a support vector machine (SVM) based classifier was applied, using features derived from the title, abstract, and MEDLINE MeSH terms associated with each article. The SVMLight (http://svmlight.joachims.org/) implementation of SVM was used."