Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Research graph
References from Analysis of survival-related factors in patients with endometrial cancer using a Bayesian network model. Local targets link to admitted publications; unresolved targets remain external evidence.
Cancer statistics, 2023.
2023 · External reference
The effect of myometrial invasion on prognostic factors and survival analysis in endometrial carcinoma.
10.4314/ahs.v19i4.47 · 2019 · External reference
The effect of marital status on endometrial cancer-related diagnosis and prognosis: A surveillance epidemiology and end results database analysis
10.2217/fon-2019-0241 · 2019 · External reference
Lymphovascular invasion in endometrial cancer: Prognostic value and implications on adjuvant radiation therapy use
10.1097/coc.0000000000000559 · 2019 · External reference
Identification of risk factors for the prognosis of Chinese patients with endometrial carcinoma.
10.1097/md.0000000000027305 · 2021 · External reference
Construction and validation of nomograms for predicting the prognosis of grade 3 endometrial endometrioid adenocarcinoma cancers: A SEER-based study.
10.1080/21655979.2021.1922247 · 2021 · External reference
Development of a model to predict the prognosis of esophageal carcinoma based on autophagy-related genes
10.2217/fon-2021-0070 · 2022 · External reference
Construction and evaluation of a nomogram for predicting survival in patients with lung cancer
10.18632/aging.203974 · 2022 · External reference
Unresolved reference
1988 · External reference
Preoperative risk stratification in endometrial cancer (ENDORISK) by a Bayesian network model: A development and validation study.
10.1371/journal.pmed.1003111 · 2020 · External reference
Prediction of all-cause mortality in haemodialysis patients using a Bayesian network
10.1093/ndt/gfz295 · 2020 · External reference
Artificial neural networks and robust Bayesian classifiers for risk stratification following uncomplicated myocardial infarction.
10.1016/j.ijcard.2004.07.008 · 2005 · External reference
Using multiple regression, Bayesian networks and artificial neural networks for prediction of total egg production in European quails based on earlier expressed phenotypes
10.3382/ps/pev031 · 2015 · External reference
Predicting the survival of gastric cancer patients using artificial and Bayesian neural networks
2018 · External reference
Survival prediction for gallbladder carcinoma after curative resection: Comparison of nomogram and Bayesian network models
10.1016/j.ejso.2020.07.009 · 2020 · External reference
A new method for predicting patient survivorship using efficient Bayesian network learning
10.4137/cin.s13053 · 2014 · External reference
Improved preoperative risk stratification in endometrial carcinoma patients: External validation of the ENDORISK Bayesian network model in a large population-based case series
10.1007/s00432-022-04218-4 · 2023 · External reference
Development and validation of an endometrial carcinoma preoperative Bayesian network using molecular and clinical biomarkers (ENDORISK): an ENITEC collaboration study.
2019 · External reference
Predictors of five-year survival among patients with hepatocellular carcinoma in the United States: an analysis of SEER-Medicare.
10.1007/s10552-020-01386-x · 2021 · External reference
Bayesian network classifiers.
10.1023/a:1007465528199 · 1997 · External reference
A practical perspective on the concordance index for the evaluation and selection of prognostic time-to-event models
10.1016/j.jbi.2020.103496 · 2020 · External reference
Cox proportional hazards regression models for survival data in cancer research
10.1007/978-1-4757-3571-0_4 · 2002 · External reference
Age is an independent predictor of outcome in endometrial cancer patients: an Israeli gynecology oncology group cohort study
10.1111/aogs.14015 · 2021 · External reference
Multivariate independent prognostic factors in endometrial carcinoma: a clinicopathologic study in 181 patients: 10 years’ experience at the Department of Obstetrics and Gynecology of the Mainz University
2003 · External reference
Tumor size, an additional prognostic factor to include in low-risk endometrial cancer: results of a French multicenter study
10.1245/s10434-015-4583-3 · 2016 · External reference
The use of artificial intelligence, machine learning and deep learning in oncologic histopathology.
10.1111/jop.13042 · 2020 · External reference
Machine and deep learning approaches for cancer drug repurposing
10.1016/j.semcancer.2019.12.011 · 2021 · External reference
Machine learning applications in epilepsy
10.1111/epi.16333 · 2019 · External reference
Artificial intelligence and machine learning in Anesthesiology
10.1097/aln.0000000000002694 · 2019 · External reference
Accurate and reliable estimation of kinetic parameters for environmental engineering applications: A global, multi-objective, Bayesian optimization approach.
10.1016/j.mex.2019.05.035 · 2019 · External reference
Hierarchical Bayesian scaling of soil properties across urban, agricultural, and desert ecosystems.
10.1890/06-1952.1 · 2008 · External reference
Bayesian estimates of the incidence of rare cancers in Europe.
10.1016/j.canep.2018.04.003 · 2018 · External reference
A Bayesian model to predict survival after left ventricular assist device implantation.
2018 · External reference