Diagnosis and Prediction of Endometrial Carcinoma Using Machine Learning and Artificial Neural Networks Based on Public Databases

Endometrial carcinoma (EC), a common female reproductive system malignant tumor, affects thousands of people with high morbidity and mortality worldwide. This study was aimed at developing a prediction model for the diagnosis of EC in the general population. First, we obtained datasets GSE63678, GSE...

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Detalles Bibliográficos
Autores principales: Zhao, Dongli, Zhang, Zhe, Wang, Zhonghuang, Du, Zhenglin, Wu, Meng, Zhang, Tingting, Zhou, Jialu, Zhao, Wenming, Meng, Yuanguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222484/
https://www.ncbi.nlm.nih.gov/pubmed/35741697
http://dx.doi.org/10.3390/genes13060935

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222484/
https://www.ncbi.nlm.nih.gov/pubmed/35741697
http://dx.doi.org/10.3390/genes13060935

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