Simple Summary A robust and comprehensive meta-analysis, for the first time, identified
definitely that BMI is by far the most influential risk factor in endometrial cancer. Risk factors …

Objective To provide an overview of prediction models for the risk of developing endometrial
cancer in women of the general population or for the presence of endometrial cancer in …

BACKGROUND The current approach to endometrial cancer screening requires that all
patients be able to recognize symptoms, report them, and carry out appropriate …

Objectives Endometrial cancer is the most common gynecologic malignancy in developed
countries. The overall risk of recurrence is associated with traditional risk factors. Methods …

Introduction There is currently no satisfactory model for predicting malignant transformation
of endometriosis. The aim of this study was to construct and evaluate a risk model …

Objective To review the literature on machine learning in endometrial cancer, report the
most commonly used algorithms, and compare performance with traditional prediction …

Introduction The aim of this study was to develop a multivariable model to predict the risk of
endometrial carcinoma in postmenopausal women with vaginal bleeding using individuals' …

Objective We used a novel machine learning algorithm to develop a precision
prognostication system for endometrial cancer. Methods The Ensemble Algorithm for …

Already the fourth most common cancer in women in the developed world, the incidence of
endometrial cancer is increasing rapidly, in line with the increasing prevalence of obesity …

Abstract Objective Artificial neural networks (ANNs) and classification and regression trees
(CARTs) have been previously used for the prediction of cancer in several fields. In our …