Proteomics-Enabled Deep Learning Machine Algorithms Can Enhance Prediction of Mortality.

Journal: Journal of the American College of Cardiology
PMID:

Abstract

BACKGROUND: Individualized risk prediction represents a prerequisite for providing personalized medicine.

Authors

  • Matthias Unterhuber
    Department of Cardiology, Heart Center Leipzig at University Leipzig, Leipzig, Germany.
  • Karl-Patrik Kresoja
    Department of Cardiology, Heart Center Leipzig at University Leipzig, Leipzig, Germany.
  • Karl-Philipp Rommel
    Department of Cardiology, Heart Center Leipzig at University Leipzig, Leipzig, Germany.
  • Christian Besler
    Department of Cardiology, Heart Center Leipzig at University Leipzig, Leipzig, Germany.
  • Andrea Baragetti
    Department of Pharmacological and Biomolecular Sciences, University of Milan, and I.R.C.C.S MultiMedica, Milan, Italy.
  • Nora Klöting
    Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany; Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz, Leipzig, Germany.
  • Uta Ceglarek
    Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, Leipzig University, Leipzig, Germany.
  • Matthias Blüher
    Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany; Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz, Leipzig, Germany.
  • Markus Scholz
    Institute for Medical Informatics, Statistics and Epidemiology, Medical Faculty, University of Leipzig, Leipzig, Germany; LIFE Research Center of Civilization Diseases, Leipzig, Germany.
  • Alberico L Catapano
    Department of Pharmacological and Biomolecular Sciences, University of Milan, and I.R.C.C.S MultiMedica, Milan, Italy.
  • Holger Thiele
    Department of Cardiology, Heart Center Leipzig at University Leipzig, Leipzig, Germany.
  • Philipp Lurz
    Department of Cardiology, Heart Center Leipzig at University Leipzig, Leipzig, Germany. Electronic address: Philipp.Lurz@medizin.uni-leipzig.de.