Leveraging machine learning techniques to forecast chronic total occlusion before coronary angiography

HIGHLIGHTS

• who: Yuchen Shi and colleagues from the Center for Artery Disease (CCAD), Beijing Anzhen Hospital, Capital Medical University, Beijing, China have published the research: Leveraging Machine Learning Techniques to Forecast Chronic Total Occlusion before Coronary Angiography, in the Journal: (JOURNAL)
• what: The authors seek the risk factors for CTO by machine_learning model and find eight easily captured variables, including gender (male), NE, HCT, TC, HDL, EF, TnI, and NT-proBNP might be the risk factors for CTO distinguishing from CAD.
• how: The Machine Learning Model Score System for Clinical Utility According to the . . .
  

   

  

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