Login / Signup

Leveraging Machine Learning Techniques to Forecast Chronic Total Occlusion before Coronary Angiography.

Yuchen ShiZe ZhengYanci LiuYongxin WuPing WangJinghua Liu
Published in: Journal of clinical medicine (2022)
An easy-to-use tool to predict CTO in patients with CAD was developed and validated. More research with larger cohorts are warranted to improve the prediction model, which can support clinician decisions on the early discerning CTO in CAD patients.
Keyphrases
  • machine learning
  • coronary artery disease
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • prognostic factors
  • peritoneal dialysis
  • big data