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Table 4 Performance of the short form detector with VetCN and PMSB datasets

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

Data setUnique candidate terms
(n-grams)
SF-U +
SF-NU + SF
SF-ISF-NFn-grams with no clinically meaningful short formsDetect n-grams with one or more clinically meaningful short formsDetect n-grams with no clinically meaningful short forms
PRFPRF
VetCN3005711422898.2880.2888.3794.2199.5696.82
PMSB333752025697.4010098.6810099.2299.61
 97.7890.4193.9597.0799.3698.20
  1. To assess the capability of the short form detector to identify candidate terms (n-grams) with one or more clinically meaningful short forms: the value of the column “SF-U + SF-NU + SF” is interpreted as TP; the value of the column “SF-I” is interpreted as FP; and the value of the column “SF-NF” is interpreted as FN. To assess the capability of the short form detector to identify candidate terms (n-grams) with no clinically meaningful short forms: the value of the column “n-grams with no clinically meaningful short forms” is interpreted as TP; the value of the column “SF-I” is interpreted as FN; and the value of the column “SF-NF” is interpreted as FP. The last row shows the micro-averaging values taking into account the total of 613 unique candidate terms (n-grams) for the 880 term pairs. Abbreviations: P = precision; R = recall; and F = F measure