Fig. 1From: Record linkage based patient intersection cardinality for rare disease studies using Mainzelliste and secure multi-party computationVisual example of the Bloom filter-based Dice similarity measure. In this example, the strings “MEIER” and “MAYERS” are compared, using \(k=2\) different hash functions and a 12 bit bloom filter. The colors mark the differences. Note, that a change of one letter leads to at most 2k different set bits, that is, small changes in the strings lead to small changes in the bit patternBack to article page