Open AccessA Random Forest Based Risk Model for Reliable and Accurate Prediction of Receipt of Transfusion in Patients Undergoing Percutaneous Coronary Intervention
Author(s) -
Hitinder S. Gurm,
Judith Kooiman,
Thomas LaLonde,
Cindy L. Grines,
David Share,
Milan Seth
Publication year - 2014
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0096385
Subject(s) - conventional pci , medicine , percutaneous coronary intervention , blood transfusion , emergency medicine , receiver operating characteristic , receipt , myocardial infarction , world wide web , computer science
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom