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We describe a general method for abstracting higherlevel, interval-based concepts from time-stamped clinical data, the knowledge-based temporal-abstraction [KBTA] method. We focus on the knowledge representation, knowledge acquisition and knowledge reuse and sharing aspects of the KBTA method. We describe five mechanisms which solve the five tasks composing the KBTA method, and four types of knowledge necessary for instantiating these mechanisms in a particular domain. We present an example ofdoi:10.1016/0933-3657(95)00036-4 pmid:8830925 fatcat:s6fn2wbmrvb4tccvmue7ae5bjq