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A Model for Predicting Clinical Prognosis in Patients with WHO Grade 2 Glioma.

Qi GaoHuandi ZhouGuohui WangZhenghui MaJiayuan LiHong WangGuo-Zhu SunXiaoying Xue
Published in: Journal of oncology (2022)
Based on the data of our center, a nomogram prediction model with eight variables has been established as an off-the-rack tool and verified its accuracy, which can guide clinical work and provide consultation for patients.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • palliative care
  • peritoneal dialysis
  • prognostic factors
  • electronic health record
  • machine learning
  • patient reported outcomes
  • deep learning
  • data analysis