Hierarchic clustering of risk factors predictive of clinical outcomes in the 2 outlooks. The similarity between each pair of risk factor patterns was calculated using cosine similarity, which is the cosine of the angle between 2 n-dimensional vectors. Then, the risk factor patterns were grouped by performing hierarchic clustering on the computed similarity matrix.