1. ARTIFICIAL INTELLIGENCE, SYSTEM ANALYSIS AND SIMULATION MODELING IN OPTIMIZATION OF TREATMENT FOR ESOPHAGOGASTRIC CANCER PATIENTS Oleg Kshivets, MD, PhD Department of Surgery, Siauliai Public Hospital & Cancer Center, Siauliai, Lithuania The 2006 Gastrointestinal Cancers Simposium, January 26-28, 2006, San Francisco, CA, the USA
11. General Esopagogastric Cancer Patients Survival after Complete Ivor-Lewis & Garlock Esophagogastrectomies (Kaplan-Meier) ( n=187 )
12. Results of Univariate Analysis in Prediction of Esopagogastric Cancer Patients Survival ( n=187 )
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20. Prognostic SEPATH-Model of Esophagogastric Cancer Patients Survival after Complete Esophagogastrectomies (n=145)
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25. Ratio Lymphocytes to Cancer Cells Populations in Prediction 5-Year Survival of Esophagogastric Cancer Patients after Complete Esophagogastrectomies (n=145)
26. Holling-Tenner Models of Esophagogastric Cancer Cell Population and Cytotoxic Cell Population Dynamics