Researchmachine learninggliomaprognostic biomarkersinflammatory markers
Machine Learning Identifies NPAR Prognostic Value
|
6.6
Researchers at The First Affiliated Hospital of Zhengzhou University retrospectively analyzed 160 adult-type diffuse glioma patients (June 2019–September 2021) and used LASSO, XGBoost, and random forest to build prognostic models. They found preoperative neutrophil percentage–to–albumin ratio (NPAR), platelet-to-mean platelet volume ratio, and age predicted overall and progression-free survival, with C-indexes of 0.731 (training) and 0.763 (validation).
Scoring Rationale
Moderate novelty and practical model development, limited by single-center retrospective cohort and need for external validation.
Practice interview problems based on real data
1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems
