askMUSIC: Leveraging a Clinical Registry to Develop a New Machine Learning Model to Inform Patients of Prostate Cancer Treatments Chosen by Similar Men.

Journal: European urology
Published Date: Oct 11, 2018

Abstract

BACKGROUND: Clinical registries provide physicians with a means for making data-driven decisions but few opportunities exist for patients to interact with registry data to help make decisions.

Authors

  • Gregory B Auffenberg
    Department of Urology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Khurshid R Ghani
    Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA.
  • Shreyas Ramani
    School of Information, University of Michigan, Ann Arbor, MI, USA.
  • Etiowo Usoro
    School of Information, University of Michigan, Ann Arbor, MI, USA.
  • Brian Denton
    Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Industrial & Operations Engineering, University of Michigan College of Engineering, Ann Arbor, MI, USA.
  • Craig Rogers
    Department of Urology, Henry Ford Health System, Detroit, MI, USA.
  • Benjamin Stockton
    Lakeside Urology PC, St. Joseph, MI, USA.
  • David C Miller
  • Karandeep Singh
    Department of Internal Medicine and School of Information, University of Michigan, Ann Arbor, Michigan.

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