Consistent discovery of frequent interval-based temporal patterns in chronic patients' data.

•A methodology to assess consistency of interval-based temporal patterns discovery.•Includes existence, local (actual frequency) and global (distribution) consistency.•Assessment was performed in the domains of oncology, infectious hepatitis, diabetes.•Raising minimal support thresholds increases consistency, especially the global one.•Using the semantic adjacency criterion to filter the TIRPs enhances consistency.