Case-based prediction in experimental medical studies
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摘要
Case-based approaches predict the behaviour of dynamic systems by analysing a given experimental setting in the context of others. To select similar cases and to control adaptation of cases, they employ general knowledge. If that is neither available nor inductively derivable, the knowledge implicit in cases can be utilized for a case-based ranking and adaptation of similar cases. We introduce the system OASES and its application to medical experimental studies to demonstrate this approach.
论文关键词：Case-based reasoning,Case-based similarity ranking,Case-based adaptation,Prediction,Experimental studies
论文评审过程：Received 2 March 1998, Revised 17 June 1998, Accepted 22 July 1998, Available online 10 March 1999.
论文官网地址：https://doi.org/10.1016/S0933-3657(98)00057-8
