MOESM3 of Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes

Additional file 3. This file shows the results of the evaluation of UMLS CUI pairs with BMJ Best Practice content (i.e. human medicine), i.e. the file contains the 3-tuples (target concept, candidate concept, validation label) for the VetCN dataset (worksheet “VetCN”) and the PMSB dataset (worksheet “PMSB”). The worksheet “signatures” has the ontological signature (i.e. a list of SNOMED CT identifiers) for each of the 11 medical conditions that are the subject of this study. The worksheet “q One Health” shows the number of UMLS CUI pairs validated with BMJ Best Practice content (i.e. human medicine) for each of the 27 UMLS Semantic Types that participates in the SPARQL SELECT query q1VU or q2VU or q3VU (i.e. One Health queries from Table 11).