Prediction of Survival Time of Patients With Esophageal Squamous Cell Carcinoma Based on Univariate Analysis and ASSA-BP Neural Network

Prediction of Survival Time of Patients With Esophageal Squamous Cell Carcinoma Based on Univariate Analysis and ASSA-BP Neural Network

Esophageal squamous cell carcinoma (ESCC) is one of the most common malignant tumors in the world. In order to find out the influencing factors, univariate Cox regression analysis is used to analyze the blood indexes to screen out the factors affecting the survival or death of patients. Spearman and...

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Bibliographic Details
Main Authors: Yanfeng Wang, Enhao Liang, Xueke Zhao, Xin Song, Lidong Wang, Junwei Sun
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Esophageal squamous cell carcinoma
univariate analysis
correlation analysis
back propagation
adaptive salp swarm algorithm
Online Access:https://ieeexplore.ieee.org/document/9210564/

Internet

https://ieeexplore.ieee.org/document/9210564/

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