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Using machine learning models to improve stroke risk level classification methods of China national stroke screening.

Xuemeng LiDi BianJinghui YuMei LiDongsheng Zhao
Published in: BMC medical informatics and decision making (2019)
Models developed in this paper can improve the current screening method in the way that it can avoid the impact of unknown values, and avoid unnecessary rescreening and intervention expenditures. The national stroke screening program can choose classification models according to the practice need.
Keyphrases
  • quality improvement
  • atrial fibrillation
  • machine learning
  • deep learning
  • randomized controlled trial
  • healthcare
  • primary care
  • cerebral ischemia