  In addition to objective indicators (e.g. laboratory values), clinical data
often contain subjective evaluations by experts (e.g. disease severity
assessments). While objective indicators are more transparent and robust, the
subjective evaluation contains a wealth of expert knowledge and intuition. In
this work, we demonstrate the potential of pairwise ranking methods to align
the subjective evaluation with objective indicators, creating a new score that
combines their advantages and facilitates diagnosis. In a case study on
patients at risk for developing Psoriatic Arthritis, we illustrate that the
resulting score (1) increases classification accuracy when detecting disease
presence/absence, (2) is sparse and (3) provides a nuanced assessment of
severity for subsequent analysis.
