Fig. 3From: Performance and clinical utility of a new supervised machine-learning pipeline in detecting rare ciliopathy patients based on deep phenotyping from electronic health records and semantic similarityUMAP with restricted hierarchical similarity. TP true positives; FN false negatives, i.e., cases always misclassified by the method, corresponding to patients P1–5Back to article page