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Performance of machine learning techniques on prediction of esophageal varices grades among patients with cirrhosis.

Azadeh BayaniFarkhondeh AsadiAzamossadat HosseiniBehzad HatamiKaveh KavousiMehrad AriaMohammad Reza Zali
Published in: Clinical chemistry and laboratory medicine (2022)
The findings may help to better predict EV with high precision and accuracy and also can help reduce the burden of frequent visits to endoscopic centers. It can also help practitioners to manage cirrhosis by predicting EV with lower costs.
Keyphrases
  • machine learning
  • primary care
  • ultrasound guided
  • artificial intelligence
  • risk factors
  • big data
  • deep learning
  • endoscopic submucosal dissection