Algorithm 1 Pseudoalgorithm of the clustering process

Input: JSM measurements of the first five visits Output: Labeled data

1. For each patient p ∈ 𝒫: Calculate the differences between the consecutive JSM measurements: $d_j^p=m_j^p-m_i^p, \forall i\in \left[1,\dots ,n-1\right], j\in \left[2,\dots ,n\right]$ Calculate the sum of the absolute differences: ${{\displaystyle \sum }}_{k=2}^n\left|d_k^p\right|$ End for each 2. For each clustering method $m$ examined Perform clustering evaluation with Davies Boulding index and calculate the optimal number of clusters $C_m$. Perform clustering with $C_m$ clusters End for each 3. Return labels and evaluate the clustered data