Fuzzy Associative Memories Approach to Analyze the Oral Cancer

• Published in: Research journal of pharmacy and technology 2018-02, Vol.11 (2), p.523-526
• Main Authors: Felix, A., Sankar, J. Ravi, Rayalu, G. Mokesh
• Format: Article
• Language: English
• Subjects: Alcohol; Diabetes; Disease; Fuzzy logic; Fuzzy sets; Health risk assessment; Hypertension; Linguistics; Medical diagnosis; Nutrition research; Oral cancer; Researchers; Smoking; Tobacco
• ISSN: 0974-3618; 0974-360X; 0974-306X
• DOI: 10.5958/0974-360X.2018.00097.5

[...]recent medical diagnosis reported that imbalanced diet and also too much exposure to the sun has increased the danger of cancer. Since there is uncertain and complex situation to find the cause and effect of oral cancer, Fuzzy logic based model called Fuzzy Associative Memories used to analyze this issue. [...]oral cancer is found at the later stage which conclusion in low treatment outcome. [...]there is drawback that many researchers have not focused on the cause effect of the disease. Since it is complex to obtain the intensity of the relationship between cause and effect factor of oral cancer, Fuzzy Associative Memories is used to analyze this problem. 2. X1M= (0.9375, 0.75, 0.7291, 0.6666, 0.7291) =Y1 Y1MT= (0.9375, 0.7916, 0.7291, 0.6666, 0.7291) =X2 X2M= (0.9375, 0.7916, 0.7291, 0.6666, 0.7291) =Y2 Y2MT= (0.9375, 0.7916, 0.7291, 0.6666, 0.7291) =X3=X2 X3M= (0.9375, 0.7916, 0.7291, 0.6666, 0.7291) =Y3=Y2 From the limit point, first two maximum value are chosen to identify the patient health condition. Since the patient P1 is addicted to Ci- Smoking and C2-Smokeless tobacco, it leads to the chance of having Ei-Both lungs are affected, gum diseases, affects digestive system, heart diseases, diabetes, pre matured weight loss/over weight babies, stained teeth.