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Supporting Concept Search using a Clinical Healthcare Knowledge Graph
The document discusses a healthcare and life sciences symposium that focuses on leveraging a clinical healthcare knowledge graph to support concept search through named entity recognition and linking. It describes the extensive resources available, including 500k curated concepts, various semantic categories, and a search platform utilizing advanced NLP techniques for improved recall and semantic matching. Additionally, it highlights the use of embeddings and a concept recommender system to enhance search accuracy and efficiency.
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Supporting Concept Search using a Clinical Healthcare Knowledge Graph
- 1. Healthcare and LifeSciences Symposium, May 2024 Sujit Pal | Elsevier Health ORCID: https://orcid.org/0000-0002-6225-110X Supporting Concept Search using a Clinical Healthcare Knowledge Graph with Named Entity Recognition and Linking
- 2. H-graph • 500k manually curatedconcepts • 14 semantic categories (groups) • 3.5 synonyms / concept • 150k relationships
- 3. H-graph • 1100+ books •650+ journals • 800+ first consult • 2900+ drug monographs • … Medical Content
- 4. H-graph Medical Content Search Index Search platform query results terms concepts • Bagof concepts • Support for synonymy • Multi-language • Leverage relations
- 5. H-graph Medical Content Search Index Search platform query results • Basedon Aho- Corasick algorithm • Streaming match • Lemmatize + lowercase for recall (except abbrs.) • Other NLP services Dictionary based NER concepts
- 6. H-graph Medical Content Search Index Search platform query results Dictionary based NER concepts ConceptResolver • Based on Dictionary based NER • Permute tokens for best match • Exposes concept relationships concepts / relations
- 7. H-graph Medical Content Search Index Search platform query results Dictionary based NER concepts ConceptResolver concepts / relations Semantic Matching • Text content converted to stream of concepts • Embeddings learned using word2vec skip- gram prediction on concepts (training)
- 8. H-graph Medical Content Search Index Search platform query results Dictionary based NER concepts ConceptResolver concepts / relations Semantic Matcher • Search platform has access to: synonym matches, nearest neighbors (KG) and nearest neighbors in concept space (training)
- 9. H-graph Medical Content Search Index Search platform query results Dictionary based NER concepts ConceptResolver concepts / relations Semantic Matcher (training) Concept Recommender (train) (infer) • Trained on KG synonym pairs • SapBERT architecture • Recommends nearest concept for new phrases in text
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