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Fig. 2 | BMC Medical Informatics and Decision Making

Fig. 2

From: Evaluation of standard and semantically-augmented distance metrics for neurology patients

Fig. 2

Mean within-diagnosis distance compared to mean between-diagnosis. The within-diagnosis means offer information on patient-to-patient variability within a diagnosis; between-diagnosis means offers information on the degree of separation between patients with one diagnosis from patients of another diagnosis. Mean inter-patient distances were highest for cosine and Jaccard metrics, lowest for augmented bipartite and augmented cosine metrics (post hoc Bonferroni test, pā€‰<ā€‰.05). Within-diagnosis mean distances are lower than between-diagnosis mean distances for all metrics (post hoc Bonferroni test, pā€‰<ā€‰.05)

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