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Identifying Elevated Risk for Future Pain Crises in Sickle-Cell Disease Using Photoplethysmogram Patterns Measured During Sleep: A Machine Learning Approach.

Yunhua JiPatjanaporn ChalachevaCarol L. RosenMichael R. DeBaunThomas D. CoatesMichael C. K. Khoo
Published in: Frontiers Digit. Health (2021)
Keyphrases
  • early warning
  • pattern mining
  • risk management
  • false discoveries
  • decision making
  • long term
  • data mining techniques
  • design patterns
  • pattern discovery
  • risk assessment
  • high risk
  • risk analysis
  • disease diagnosis