Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15791, first published .
Improving Clinical Translation of Machine Learning Approaches Through Clinician-Tailored Visual Displays of Black Box Algorithms: Development and Validation

Improving Clinical Translation of Machine Learning Approaches Through Clinician-Tailored Visual Displays of Black Box Algorithms: Development and Validation

Improving Clinical Translation of Machine Learning Approaches Through Clinician-Tailored Visual Displays of Black Box Algorithms: Development and Validation

Shannon Wongvibulsin   1 , PhD ;   Katherine C Wu   2 , MD ;   Scott L Zeger   3 , PhD

1 Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, United States

2 Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States

3 Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

Corresponding Author:

  • Scott L Zeger, PhD
  • Department of Biostatistics
  • Johns Hopkins Bloomberg School of Public Health
  • 615 N. Wolfe Street
  • Room E3650
  • Baltimore, MD, 21205
  • United States
  • Phone: 1 410 502 9054
  • Email: sz@jhu.edu