Machine Learning–Based Mortality Prediction of Patients at Risk During Hospital Admission

From the ∗Data and Digital Innovation, East Metropolitan Health Service and Medical School, The University of Western Australia, Perth, Australia

†Institute for Machine Learning, Johannes Kepler University, Linz, Austria

‡Institute of Anesthesiology, University Hospital Zurich, Zurich, Switzerland

§Medical School and Division of Surgery, The University of Western Australia, Crawley

∥School of Health Sciences and Graduate Studies, Curtin University, Bentley

¶Data and Digital Innovation, East Metropolitan Health Service

∗∗Department of Haematology, PathWest Laboratory Medicine, Royal Perth Hospital, Perth

††School of Medicine and Pharmacology, The University of Western Australia, Crawley, Australia

‡‡Kepler University Hospital, Department of Anesthesiology and Intensive Care Medicine and Johannes Kepler University

§§ELLIS Unit Linz, LIT AI Lab, Institute for Machine Learning, Johannes Kepler University, Linz, Austria

∥∥Institute of Advanced Research in Artificial Intelligence, Vienna, Austria

¶¶Clinic of Anesthesiology and Critical Care Medicine, Kepler University Clinic, Kepler University, Linz, Austria.

Correspondence: Jens Meier, MD, Department for Anesthesiology and Critical Care, Kepler University Clinic, Kepler University, Altenberger Straße 69, 4040 Linz, Austria (e-mail: [email protected]).

All authors have completed the uniform disclosure form of the International Committee of Medical Journal Editors at www.icmje.org/coi_disclosure.pdf and declare the following: M.F.L. reports personal fees from Vifor Pharma and personal fees from Pfizer, outside the submitted work. A.H. reports personal fees and nonfinancial support from Celgene, Belgium; personal fees and nonfinancial support from G1 Therapeutics; nonfinancial support from South African National Blood Service, South Africa; personal fees and nonfinancial support from Takeda, South Africa; personal fees and nonfinancial support from TEM Innovations, Germany; personal fees and nonfinancial support from Vifor Pharma International AG, Switzerland; and personal fees from Vygon SA, France, outside the submitted work. K.M.T., A.L., C.B., J.M., T.T., S.H., A.M., and K.S. have nothing to disclose.

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