Cluster analysis of treatment processes based on the typicalness measure for building clinical pathways

This paper presents a typicalness-based cluster analysis scheme for discovering groups of treatment processes that may constitute building blocks for clinical pathways. Experimental results on an otorhinolaryngologic disease dataset demonstrate that the method is capable of producing clusters that reflect differences of treatment processes induced by the differences of operation dates without a priori information about operation.