Abstract

Hyperlipidemia is one of the important risk factors of cardiovascular and cerebrovascular diseases. Monitoring of adverse reactions of hypolipidemic drugs is very crucial for clinical administration. In this study, in order to explore the occurrence characteristics of ADRs for hypolipidemic drugs, we manually annotated and normalized the ADRs of hypolipidemic drugs from Chinese adverse event reports. Totally 579 records are involved in the study. Also we constructed a new dictionary of ADRs and a classification standard of the Severity of ADR to standardize the description of adverse drug reactions. Finally, we got a dictionary of ADR which have 171 terms, of 129 are from WHO-ART and 42 are self-defined. A new classification criteria for the severity of ADRs were built and each record were annotated by the criteria. Our annotated corpus, ADR dictionary and the classification standard can provide data source and dictionary resource to support future machine-learning-based ADR mining to better explore ADRs of hypolipidemic drugs.

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