From Unit to Dose: A Machine Learning Approach for Precise Prediction of Hemoglobin and Iron Content in Individual Packed Red Blood Cell Units

Author:

Epah Jeremy1,Gülec Ilay1,Winter Stefan2,Dörr Johanna1,Geisen Christof1,Haecker Eva1,Link Dietmar1,Schwab Matthias234,Seifried Erhard1,Schäfer Richard156ORCID

Affiliation:

1. Institute for Transfusion Medicine and Immunohaematology, German Red Cross Blood Donor Service Baden‐Württemberg‐Hessen gGmbH Goethe University Hospital 60528 Frankfurt am Main Germany

2. Dr. Margarete Fischer‐Bosch Institute of Clinical Pharmacology Stuttgart, Germany University of Tübingen 72076 Tübingen Germany

3. Departments of Clinical Pharmacology Pharmacy and Biochemistry University of Tübingen 72076 Tübingen Germany

4. Cluster of Excellence iFIT (EXC 2180), Image‐Guided and Functionally Instructed Tumor Therapies“ University of Tübingen 72076 Tübingen Germany

5. Institute for Transfusion Medicine and Gene Therapy Medical Center – University of Freiburg 79106 Freiburg Germany

6. Center for Chronic Immunodeficiency (CCI) Medical Center – University of Freiburg 79106 Freiburg Germany

Funder

Robert Bosch Stiftung

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,Biochemistry, Genetics and Molecular Biology (miscellaneous),General Materials Science,General Chemical Engineering,Medicine (miscellaneous)

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