Table 1.
Types and statistics of entity mentions annotated in the PhenoCHF corpus.
Fig 1.
PhenoNorm normalisation workflow.
Table 2.
Results of applying PhenoNorm to the PhenoCHF corpus.
Table 3.
Comparison of MetaMap, BeCAS, SoftTFIDF and PhenoNorm when applied to PhenoCHF.
Fig 2.
The overlap between phenotype concepts appearing in EHR narratives and literature articles.
Table 4.
Examples of different ways of mentioning the same phenotype concepts in narrative EHR reports and literature articles.
Table 5.
Comparison of PhenoNorm against other approaches applied to the ShARe/CLEF corpus.
Table 6.
Micro-averaged performance comparison of PhenoNorm against other normsalisation approaches applied to the NCBI disease corpus.
Table 7.
Results of applying PhenoNorm to the heart failure and pulmonary embolism corpora.