Improved Detection of Prostate Cancer Using Classification and Regression Tree Analysis Mark Garzotto , Tomasz M. Beer , R. Guy Hudson , Laura Peters , Yi-Ching Hsieh , Eduardo Barrera , Thomas Klein ...

The particular likelihood models discussed in the paper are those of general density estimation, Gaussian regression, clustering, classification, and models specific for inverse quantum problems.

To build a decision tree for patients suspected of having prostate cancer using classification and regression tree (CART) analysis. Patients and Methods Data were uniformly collected on 1,433 referred ...