Case-based prediction in experimental medical studies

Case-based approaches predict the behaviour of dynamic systems by analysing a given experimental setting in the context of others. To select similar c ases 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 simila r cases. We introduce the system GASES and its application to medical exper imental studies to demonstrate this approach. (C) 1999 Elsevier Science B.V . All rights reserved.