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We defined two OMIM phenotypes to be similar if their MimMiner [16] similarity score was ≥0.4.
A positive similarity score would indicate that an MO participant was more similar to GA than IA, and vice versa.
We used the similarity score between OMIM phenotypes developed in [16], and we defined as similar two phenotypes with a similarity score ≥0.4, as suggested in [16].
This paper proposed a novel algorithm based on neutrosophic similarity score to perform thresholding on image.
It analyses the colour of the scene and the texture to calculate a similarity score.
Then, a neutrosophic similarity score (NSS) is defined and employed to measure the degree to the ideal object.
We use these measure to evaluate a region to region visual similarity score.
If the similarity score reaches some certain value, then the system will automatically recognize the new face.
final similarity score of Geomfinder.
Fig. 1 Structural similarity score distributions.
Behavior ID calculates a "similarity score" between the user's current behavior and the historical, expected behavior.
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