MOESM1 of Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes

Additional file 1. This file contains 880 term pairs (target term, candidate term) obtained from the two datasets for 11 medical conditions: the worksheet “VetCN” with the 440 term pairs using CBOW and Skip-gram with the VetCN dataset; and the worksheet “PMSB” with the 440 term pairs using CBOW and Skip-gram with the PMSB dataset. Within the worksheet “VetCN” and “PMSB” appear the UMLS CUIs assigned to the candidate terms (n-grams). The worksheet “SF to LF” has the 63 long forms for 80 short forms (including variants of the short forms) within the candidate terms (n-grams). The worksheet “MetaMap performance” contains the number of TP, FP, and FN obtained and used to calculate precision, recall, and F measure for MetaMap in Experiment 1 (EXP-1) and Experiment 2 (EXP-2).