Survival Risk Prediction of Esophageal Cancer Based on Self-Organizing Maps Clustering and Support Vector Machine Ensembles. - Junwei Sun; Yuli Yang; Yanfeng Wang 002; Lidong Wang; Xin Song; Xueke Zhao (IEEE Access, 2020)

Prediction of Survival Time of Patients With Esophageal Squamous Cell Carcinoma Based on Univariate Analysis and ASSA-BP Neural Network. - Yanfeng Wang 002; Enhao Liang; Xueke Zhao; Xin Song; Lidong Wang; Junwei Sun (IEEE Access, 2020)

Identify risk factors and predict the postoperative risk of ESCC using ensemble learning. - Yanfeng Wang; Huifang Guo; Sanyi Li; Lidong Wang; Xin Song; Xueke Zhao (Biomed. Signal Process. Control., 2021)

A New Coupled Awareness-Epidemic Spreading Model with Neighbor Behavior on Multiplex Networks. - Chao Zuo; Anjing Wang; Fenping Zhu; Zeyang Meng; Xueke Zhao (Complex., 2021)

Prediction of Postoperative Survival Level of Esophageal Cancer Patients Based on Kaplan-Meier (K-M) Survival Analysis and Gray Wolf Optimization (GsWO)-BP Model. - Enhao Liang; Yanfeng Wang; Lidong Wang; Xueke Zhao; Changkai Sun (DMBD (1), 2022)

Prognostic staging of esophageal cancer based on prognosis index and cuckoo search algorithm-support vector machine. - Yanfeng Wang; Qing Liu; Yuli Yang; Junwei Sun; Lidong Wang; Xin Song; Xueke Zhao (Biomed. Signal Process. Control., 2023)

Construction and analysis of protein-protein interaction network for esophageal squamous cell carcinoma. - Yanfeng Wang 002; Yuhan Cao 004; Yingcong Wang; Junwei Sun; Lidong Wang; Xin Song; Xueke Zhao (Comput. Biol. Medicine, 2024)