Analysis of similarity measure in the longitudinal study using improved longest common subsequence method for lung cancer
We examine the similarity between clinical time-series categorical data. Increasing constraint window parameter will decrease the model performance. The proposed W-LCSS-CW method performed significantly better than other three methods based on the relative evaluation. The proposed W-LCSS-CW method performed significantly better than other three methods based on the external evaluation. The constraint window and the weight factor is useful in measuring sequence similarity.
similarity measure longest common subsequence time-series longitudinal data hierarchical clustering