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Exploration of Machine Learning for Hyperuricemia Prediction Models Based on Basic Health Checkup Tests.

Sangwoo LeeEun Kyung ChoeBoram Park
Published in: Journal of clinical medicine (2019)
The ML model was superior to the CLR model for the prediction of hyperuricemia. Future studies are needed to determine the best-performing ML algorithms based on data set characteristics. We believe that this study will be informative for studies using ML tools in clinical research.
Keyphrases
  • machine learning
  • big data
  • uric acid
  • healthcare
  • public health
  • case control
  • artificial intelligence
  • mental health
  • metabolic syndrome
  • current status
  • health information