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- W2977894503 abstract "Cancer has always been a disease difficult to fully comprehend by researchers because both of the genetic and environmental factors as well as the complexity of the human organism. Scientific and technological developments alongside the trend of multidisciplinary approach have enabled the acquisition of new medical knowledge as well as employing new diagnostic or treatment tools. Such could be the example of the use of artificial intelligence in the diagnosis or management of certain diseases. This paper emphasizes on the use of fuzzy logic in cancer diagnosis. The main issue addressed is early diagnosis by identifying at-risk individuals through risk factor assessment. The types of cancer chosen were those with the highest incidence and mortality worldwide: lung, breast, prostate, colo-rectal and gastric cancer. Using an artificial intelligence program along the patient database could quicken and optimize the referral of at-risk individuals to specialists, which in turn could improve the diagnosis of early stage cancer disease, thus reducing mortality and morbidity." @default.
- W2977894503 created "2019-10-10" @default.
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- W2977894503 date "2019-09-27" @default.
- W2977894503 modified "2023-09-26" @default.
- W2977894503 title "THE USE OF FUZZY LOGIC IN CANCER DIAGNOSIS - REVIEW" @default.
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