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ABSTRACT: Importance
The use of machine learning applications related to health is rapidly increasing and may have the potential to profoundly affect the field of health care.Objective
To analyze submissions to a popular machine learning for health venue to assess the current state of research, including areas of methodologic and clinical focus, limitations, and underexplored areas.Design, setting, and participants
In this data-driven qualitative analysis, 166 accepted manuscript submissions to the Third Annual Machine Learning for Health workshop at the 32nd Conference on Neural Information Processing Systems on December 8, 2018, were analyzed to understand research focus, progress, and trends. Experts reviewed each submission against a rubric to identify key data points, st
SUBMITTER: Beaulieu-Jones B
PROVIDER: S-EPMC6822089 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature