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Feature Selection in Detection of Adverse Drug Reactions from the Health Improvement Network (THIN) Database
2015
International Journal of Information Technology and Computer Science
Adverse drug reaction (ADR) is widely concerned for public health issue. ADRs are one of most common causes to withdraw some drugs from market. Prescription event monitoring (PEM) is an important approach to detect the adverse drug reactions. The main problem to deal with this method is how to automatically extract the medical events or side effects from high-throughput medical events, which are collected from day to day clinical practice. In this study we propose a novel concept of feature
doi:10.5815/ijitcs.2015.03.10
fatcat:h33qds3qwnaqjb3powrqre4hnm