A machine learning‐based survival prediction model of high grade glioma by integration of clinical and dose‐volume histogram parameters-Reference-Cited by-同舟云学术

A machine learning‐based survival prediction model of high grade glioma by integration of clinical and dose‐volume histogram parameters

Published:2021-03-24 Issue:8 Volume:10 Page:2774-2786
ISSN:2045-7634
Container-title:Cancer Medicine
language:en
Short-container-title:Cancer Med

Author:

Chen Haiyan¹²,Li Chao¹,Zheng Lin¹³,Lu Wei²⁴,Li Yanlin⁵,Wei Qichun¹²^ORCID

Affiliation:

1. Department of Radiation Oncology Key Laboratory of Cancer Prevention and Intervention Ministry of Education The Second Affiliated HospitalZhejiang University School of Medicine Hangzhou Zhejiang China

2. Zhejiang University Cancer Center Hangzhou Zhejiang China

3. Department of Radiation Oncology Taizhou Tumor Hospital Taizhou Zhejiang China

4. Department of Colorectal Surgery and Oncology Key Laboratory of Cancer Prevention and Intervention Ministry of Education The Second Affiliated HospitalZhejiang University School of Medicine Hangzhou Zhejiang China

5. College of Science Hangzhou Normal University Hangzhou Zhejiang China

Funder

China Postdoctoral Science Foundation

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cam4.3838

Reference38 articles.

1. Adult Glioma Incidence and Survival by Race or Ethnicity in the United States From 2000 to 2014

2. The epidemiology of glioma in adults: a "state of the science" review