Using a cohort study of diabetes and peripheral artery disease to compare logistic regression and machine learning via random forest modeling

被引：0
|
作者：
Andrea M. Austin
Niveditta Ramkumar
Barbara Gladders
Jonathan A. Barnes
Mark A. Eid
Kayla O. Moore
Mark W. Feinberg
Mark A. Creager
Marc Bonaca
Philip P. Goodney
机构：
[1] The Dartmouth Institute for Health Policy and Clinical Practice,Heart and Vascular Center
[2] Geisel School of Medicine at Dartmouth,Department of Medicine, Brigham and Women’s Hospital
[3] Dartmouth-Hitchcock Medical Center,undefined
[4] Harvard Medical School,undefined
[5] University of Colorado Medical Center,undefined
来源：
BMC Medical Research Methodology | / 22卷
关键词：
Random forest; machine learning; critical limb ischemia; diabetes; amputation; reintervention;
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