Optimal choice of prognostic variables with an application to cardiac monitoring using M-mode echocardiography.

Abstract

This paper provides a methodology for the optimal choice of a subset from a large number of interrelated diagnostic variables. We use predetermined abnormal ranges for each measurement and code subjects as abnormal or normal on this basis. We present a procedure to determine the smallest subset of measurements that identifies any subject abnormal on at… (More)

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