An optimal sequential feature selection and ordering procedure for the diagnosis of discrete medical data patterns

This paper describes a procedure for sequentially selecting and ordering features. It is applicable to sequential decision schemes for the computer-aided diagnosis of discrete-valued medical data patterns. The procedure is optimal in minimizing the diagnostic error probability. Preliminary application results are described.