Assessment of a Deep Learning Model to Predict Hepatocellular Carcinoma in Patients With Hepatitis C Cirrhosis.

Journal: JAMA network open
PMID: 32870314

Abstract

IMPORTANCE: Deep learning, a family of machine learning models that use artificial neural networks, has achieved great success at predicting outcomes in nonmedical domains.

Authors

  • George N Ioannou
    Division of Gastroenterology, Department of Medicine, University of Washington, Seattle, WA, United States of America.
  • Weijing Tang
    Department of Statistics, University of Michigan, Ann Arbor.
  • Lauren A Beste
    Department of Medicine, Veterans Affairs Puget Sound Healthcare System and University of Washington, Seattle, WA, United States of America.
  • Monica A Tincopa
    Michigan Medicine, Division of Gastroenterology and Hepatology, Department of Internal Medicine, Ann Arbor.
  • Grace L Su
    Michigan Medicine, Department of Internal Medicine, Division of Gastroenterology and Hepatology, Ann Arbor, Michigan, United States of America.
  • Tony Van
    VA Ann Arbor Health Services Research and Development Center of Clinical Management Research, Ann Arbor, Michigan, United States of America.
  • Elliot B Tapper
    Department of Medicine, University of Michigan Medical School, Ann Arbor, Michigan, MI, USA.
  • Amit G Singal
    Division of Gastroenterology, Department of Medicine, University of Texas Southwestern, Dallas.
  • Ji Zhu
    Department of Statistics, University of Michigan, Ann Arbor, Michigan.
  • Akbar K Waljee
    VA Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan.

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