International Review on Computers and Software, cilt.6, ss.347-354, 2011 (Diğer Kurumların Hakemli Dergileri)
Thousands of people die every year because of cancer due to limitation of medical
sources and unable to use the existing sources effectively. Loss of patients can be reduced by
using the numerical (quantitative) techniques in the system of Medical and Health. The earlier
cancer is diagnosed, so the treatment would be that successful. In this study risk of getting lung
cancer of people are going to be deduced and the opportunity to destroy this risk will be able to be
suggested to the patient. Affects of stress to cancer are going to be examined after evaluating the
risk value of cancer is going to be evaluated in the basis of self resistance of the person to cancer
expect of risk result and aptitude to stress. In order to resolve the problem, the available figures
have been evaluated; leading method and sample have been presented together with fuzzy logic
model as a new modality. The reason for selection of fuzzy logic model in this study is that the
system uses fuzzy logic model enables to provide effective results depending on uncertain verbal
knowledge just like logic of human being. When received good results from the study; our system
will make a pre-diagnosis for the people who possibly can have risk of getting cancer due to
working conditions or living standards therefore; this will enable these people to take precautions
to the risk of cancer. Besides, the contribution of fuzzy logic model in the field of health and topics
of artificial intelligence will also be examined in this study.