Fig. 2

Feature distributions and z-scores across expert subjects. aGaussian probability distributions of the features fitted to the data from expert subjects. Each dot is one subject. Probability values are normalized to 1. b All features are combined into a single score and each expert subject is scored relative to all other experts. The resulting z-score represents how many standard deviations a subject is from the experts mean performance. Z-scores for expert subjects are all within ±2 except for one subject (see text) indicating that their performances were similar. If a patient’s score lies within this range, the patient is considered equivalent to an expert user