Five Years Survival of Patients After Liver Transplantation and Its Effective Factors by Neural Network and Cox Poroportional Hazard Regression Models

CITEDBY Reports

  1. C. G. Raji, S. S. Vinod Chandra, . Predicting the survival of graft following liver transplantation using a nonlinear model. Journal of Public Health, 2016; 24(5): 443.
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  2. Hadi Raeisi Shahraki, Saeedeh Pourahmad, Seyyed Mohammad Taghi Ayatollahi, . Identifying the Prognosis Factors in Death after Liver Transplantation via Adaptive LASSO in Iran. Journal of Environmental and Public Health, 2016; 2016(): 1.
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  3. Zhe Zhang, Ke Huang, Chenglei Gu, Luyang Zhao, Nan Wang, Xiaolei Wang, Dongsheng Zhao, Chenggang Zhang, Yiming Lu, Yuanguang Meng, . Molecular Subtyping of Serous Ovarian Cancer Based on Multi-omics Data. Scientific Reports, 2016; 6(1): .
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  4. Saeedeh Pourahmad, Iman Hafizi-Rastani, Hosseinali Khalili, Shahram Paydar, . Identifying Important Attributes for Prognostic Prediction in Traumatic Brain Injury Patients. Methods of Information in Medicine, 2016; 55(05): 440.
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  5. C. G. Raji, S. S. Vinod Chandra, . Various Medical Aspects of Liver Transplantation and its Survival Prediction using Machine Learning Techniques. Indian Journal of Science and Technology, 2017; 10(13): 1.
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