Prediction of Endometrial Carcinoma Using the Combination of Electronic Health Records and an Ensemble Machine Learning Method

Prediction of Endometrial Carcinoma Using the Combination of Electronic Health Records and an Ensemble Machine Learning Method

Endometrial carcinoma (EC) is a common cause of cancer death in women, and having an early accurate prediction model to identify this disease is crucial. The aim of this study was to develop a new machine learning (ML) model-based diagnostic prediction model for EC. We collected data from consecutiv...

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Bibliographic Details
Main Authors: Wenwen Wang, Yang Xu, Suzhen Yuan, Zhiying Li, Xin Zhu, Qin Zhou, Wenfeng Shen, Shixuan Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Medicine
Subjects:
machine learning
ensemble method
prediction
endometrial carcinoma (EC)
model
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.851890/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.851890/full

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