TY - JOUR
AU1 - Ennis, Marguerite
AU2 - Hinton, Geoffrey
AU3 - Naylor, David
AU4 - Revow, Mike
AU5 - Tibshirani, Robert
AB - We apply a battery of modern, adaptive non‐linear learning methods to a large real database of cardiac patient data. We use each method to predict 30 day mortality from a large number of potential risk factors, and we compare their performances. We find that none of the methods could outperform a relatively simple logistic regression model previously developed for this problem. © 1998 John Wiley & Sons, Ltd.
TI - A comparison of statistical learning methods on the GUSTO database
JF - Statistics in Medicine
DO - 10.1002/(SICI)1097-0258(19981115)17:21<2501::AID-SIM938>3.0.CO;2-M
DA - 1998-11-15
UR - https://www.deepdyve.com/lp/wiley/a-comparison-of-statistical-learning-methods-on-the-gusto-database-7Bhs8dp3Xx
SP - 2501
EP - 2508
VL - 17
IS - 21
DP - DeepDyve
ER -