Leveraging Post-marketing Drug Safety Research through Semantic Technologies: The PharmacoVigilance Signal Detectors Ontology.

摘要: Accurate and timely identification of post-marketing drug safety risks (the so-called “signals” in pharmacovigilance) is an important public health issue. While various computational methods have been proposed to analyze the diverse data sources employed for signal detection, still challenge effective monitoring surveillance remains. On other hand, there emerging belief that synthesis all possible information necessary achieve further advancements. Aiming facilitate integrated detection by concurrently exploring via respective analysis a systematic way, we propose PharmacoVigilance Signal Detectors Ontology (PV-SDO). PV-SDO constitutes backbone semantically-enriched platform this integration aims to: (a) semantically harmonize heterogeneous field, (b) their joint exploitation through mappings between reference terminologies rely on, (c) provide exploitable knowledge base methods, experiments outcomes including provenance information. has populated with significant number individuals using from open-source method implementations, assessed data-driven logicbased techniques, while evaluation experts currently being conducted well-promising results.