Improved preoperative risk stratification in endometrial carcinoma patients: external validation of the ENDORISK Bayesian network model in a large population-based case series

被引：0
|
作者：
Marcel Grube
Casper Reijnen
Peter J. F. Lucas
Frieder Kommoss
Felix K. F. Kommoss
Sara Y. Brucker
Christina B. Walter
Ernst Oberlechner
Bernhard Krämer
Jürgen Andress
Felix Neis
Annette Staebler
Johanna M. A. Pijnenborg
Stefan Kommoss
机构：
[1] University Hospital Tuebingen,Department of Women’s Health
[2] Radboud University Medical Center,Department of Radiation Oncology
[3] University of Twente,Department of Data Science
[4] Im Medizin Campus Bodensee,Institute of Pathology
[5] University Hospital Heidelberg,Institute of Pathology
[6] University Hospital Tuebingen,Department of Pathology and Neuropathology
[7] Radboud University Medical Center,Department of Obstetrics and Gynaecology
来源：
Journal of Cancer Research and Clinical Oncology | 2023年 / 149卷
关键词：
Endometrial carcinoma; Bayesian network; Personalized medicine; Lymph nodes; Risk stratification;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：3361 / 3369
页数：8
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