Login / Signup

Development and validation of risk score for predicting spontaneous rupture of hepatocellular carcinoma.

Feng YeDi MaXiao-Yong GongYu-Chen YangYong-Jun Chen
Published in: Annals of surgical treatment and research (2020)
Here, based on routine clinical data, we determine the factors that affect prognosis and propose an effective tool for predicting spontaneous rupture, which may be useful in guiding priority treatment of high-risk patients or clinical routine preventive treatment.
Keyphrases
  • end stage renal disease
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • machine learning
  • big data
  • combination therapy
  • electronic health record
  • patient reported outcomes