A Random Forest Based Risk Model for Reliable and Accurate Prediction of Receipt of Transfusion in Patients Undergoing Percutaneous Coronary Intervention

Author(s):
Gurm, H.S.; Kooiman, J.; LaLonde, T.; Grines, C.; Share, D.; Seth, M.
Published
2014
Publication type
Article / Letter to editor
Date issued
2014-05-09
Language
English
Is part of
PLoS ONE (2014), No. 5
hdl
1887/105117
doi
10.1371/journal.pone.0096385