A Systematic Review of Health Dialog Systems.

Journal: Methods of information in medicine
Published Date: Apr 29, 2020

Abstract

BACKGROUND:  Health dialog systems have seen increased adoption by patients, hospitals, and universities due to the confluence of advancements in machine learning and the ubiquity of high-performance hardware that supports real-time speech recognition, high-fidelity text-to-speech, and semantic understanding of natural language.

Authors

  • William R Kearns
    University of Washington, Seattle, WA.
  • Nai-Ching Chi
    College of Nursing, University of Iowa, Iowa City, Iowa, United States.
  • Yong K Choi
    Betty Irene Moore School of Nursing, University of California, Davis, Sacramento, California, United States.
  • Shih-Yin Lin
    New York University Rory Meyers College of Nursing, New York, New York, United States.
  • Hilaire Thompson
    Biomedical and Health Informatics, School of Medicine, University of Washington, Seattle, Washington, United States.
  • George Demiris
    Department of Biobehavioral Health Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, United States.

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