Machine learning re-discovers signatures of late-onset neonatal sepsis in continuous heart rate data of very low birth weight infants at four NICUs

Ian German Mesner, University of Virginia School of Medicine, Charlottesville, VA, United States; Zachary A. Vesoulis, Washington University in St. Louis School of Medicine, St. Louis, MO, United States; Karen D. Fairchild, University of Virginia School of Medicine, Earlysville, VA, United States; Rakesh Sahni, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States; Joseph R. Isler, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States; Namasivayam Ambalavanan, University of Alabama School of Medicine, Birmingham, AL, United States; Douglas E. Lake, University of Virginia School of Medicine, Charlottesville, VA, United States; Andrew J. Barros, University of Virginia School of Medicine, Charlottesville, VA, United States; Randall Moorman, University of Virginia, Charlottesville, VA, United States; Brynne A.. Sullivan, University of Virginia, Charlottesville, VA, United States