On Artificial Intelligent-aided Diagnosis of Early Lumbar Disc Degeneration

Corresponding author: Xiaofeng Wu, mathwxf@sina.com

DOI: 10.12201/bmr.202204.00001

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  Abstract: This paper investigates intelligent diagnosis for early lumbar disc degeneration. The classifiers for early lumbar disc degeneration are established based on metabolomics and label distribution learning, and the proposed classifiers are evaluated and analyzed. Finally, it is discussed that how these classifiers assist doctors to mitigate ambiguity and uncertainty which arise in diagnosis of early lumbar disc degeneration.

  Key words: early lumbar disc degeneration; metabonomics; label distribution learning; classifiers

  Submit time: 7 April 2022

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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• ID	Submit time	Number	Download
  1	2022-04-04	bmr.202204.00001V1	Download

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