Memantic: A Medical Knowledge Discovery Engine
Alexei Yavlinsky

TL;DR
Memantic is a system that builds and updates a network of medical concepts from biomedical literature, allowing users to visually explore relationships and gain quick, contextual understanding of medical topics, improving over traditional search engines.
Contribution
It introduces a real-time, visual co-occurrence network of medical concepts derived from literature, enhancing medical knowledge discovery and user experience.
Findings
Provides an up-to-date medical concept network
Enables visual exploration of medical relationships
Improves user understanding of biomedical topics
Abstract
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.
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Taxonomy
TopicsBiomedical Text Mining and Ontologies · Semantic Web and Ontologies · Advanced Text Analysis Techniques
