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Clinical prediction models for the early diagnosis of obstructive sleep apnea in stroke patients: a systematic review.

Hua-Lu YangShuya LuYang Lin
Published in: Systematic reviews (2024)
Although clinical prediction models have shown the potential for diagnosing OSA in stroke patients, their limited accuracy and high risk of bias restrict their implications. Future studies should focus on developing advanced algorithms that incorporate more predictors from larger and representative samples and externally validating their performance to enhance their clinical applicability and accuracy.
Keyphrases
  • obstructive sleep apnea
  • machine learning
  • risk assessment
  • deep learning
  • climate change
  • current status
  • human health