Memantic: A Medical Knowledge Discovery Engine
This provides a tool for researchers and practitioners in biomedicine to improve knowledge discovery, though it is incremental as it builds on existing co-occurrence and visualization methods.
The paper tackles the problem of discovering relationships between medical concepts by constructing a continuously updated co-occurrence network from biomedical literature, enabling users to explore it visually for rapid contextual understanding.
We present a system that constructs and maintains an up-to-date co-occurrence network of medical concepts based on continuously mining the latest biomedical literature. Users can explore this network visually via a concise online interface to quickly discover important and novel relationships between medical entities. This enables users to rapidly gain contextual understanding of their medical topics of interest, and we believe this constitutes a significant user experience improvement over contemporary search engines operating in the biomedical literature domain.