Applications of Soft Computing Techniques for Cancer Prognosis. Artificial Intelligence Techniques in Survival Analysis

      Аннотация: The study done in this book was designed as a focused preliminary exploration into the power of the genetic algorithm and fuzzy logic system to the prediction of cancer survival, The results of the experiments were very positive, comparing the outcome of the GA model with that of FL it shows the robustness of the GA model as prediction system.The two principal designs indicate that the use of genetic algorithms and fuzzy logic in NPC is definitely a fruitful endeavour. The results would suggest that genetic algorithms as standalone classifier models are better (based on the system designed in this research) for this sort of task than a fuzzy logic model.

Ключевые слова: artificial intelligence, Neural Networks, fuzzy logic, Cancer prognosis, Soft Computing, genetic algorithm