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

• Hitinder S. Gurm ,

  * E-mail: hgurm@med.umich.edu

  Affiliation Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan, United States of America

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• Judith Kooiman,

  Affiliation Department of Thrombosis and Hemostasis and Department of Nephrology, Leiden University Medical Center, Leiden, The Netherlands

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• Thomas LaLonde,

  Affiliation Department of Internal Medicine, St John Providence Health System, Detroit, Michigan, United States of America

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• Cindy Grines,

  Affiliation Department of Internal Medicine, Detroit Medical Center, Detroit, Michigan, United States of America

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• David Share,

  Affiliation Blue Cross Blue Shield of Michigan, Detroit, Michigan, United States of America

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• Milan Seth

  Affiliation Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan, United States of America

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