This paper is in the following e-collection/theme issue:

Genomics and Bioinformatics for Clinical Use (48) Clinical Information and Decision Making (1957) Artificial Intelligence (2198) Machine Learning (2130)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79945, first published .
Neutrophil Percentage–to-Albumin Ratio as a Novel Prognostic Biomarker in Adult Diffuse Gliomas: Retrospective Study Integrating 3 Machine Learning Models and Cox Regression

Neutrophil Percentage–to-Albumin Ratio as a Novel Prognostic Biomarker in Adult Diffuse Gliomas: Retrospective Study Integrating 3 Machine Learning Models and Cox Regression

Neutrophil Percentage–to-Albumin Ratio as a Novel Prognostic Biomarker in Adult Diffuse Gliomas: Retrospective Study Integrating 3 Machine Learning Models and Cox Regression

Authors of this article:

Congcong Zhu1, 2 Author Orcid Image ;   Jiyang An3 Author Orcid Image ;   Lili Zhou1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Congcong Zhu   1, 2 , MD ;   Jiyang An   3 , PhD ;   Lili Zhou   1 , PhD

1 Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China

2 Department of Oncology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan, China

3 Department of Neurosurgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China

Corresponding Author:

  • Lili Zhou, PhD
  • Department of Oncology
  • The First Affiliated Hospital of Zhengzhou University
  • No. 1, East Jian She Road, Er Qi District
  • Zhengzhou, Henan 450052
  • China
  • Phone: 86 176371002322
  • Email: zhoulili0@126.com