no code implementations • 6 Sep 2016 • Kalpana Raja, Andrew J Sauer, Ravi P Garg, Melanie R Klerer, Siddhartha R. Jonnalagadda
This is significantly high when compared to a query-expansion based baseline (F-score of 1. 3% on HF and 2. 2% on AFib) and a system that uses query expansion with disease hyponyms and journal names, concept-based screening, and term-based vector similarity system (F-score of 37. 5% on HF and 39. 5% on AFib).
no code implementations • 6 Sep 2016 • Ravi P Garg, Kalpana Raja, Siddhartha R. Jonnalagadda
Conclusion: We showed that our proposed type system is precise and comprehensive in representing a large sample of recommendations available for various disorders.