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A comparison of statistical learning methods on the Gusto database

Ennis M, Hinton G, Naylor D, Revow M, Tibshirani R. Stat Med. 1998; 17(21):2501-8.

A battery of modern, adaptive non-linear learning methods were applied to a large real database of cardiac patient data. Each method was used to predict 30-day mortality from a large number of potential risk factors, and their perfomances were compared. None of the methods could outperform a relatively simple logistic regression model previously developed for this problem.

Keywords: Research and statistical methods