Evaluation of Intensified Colorectal Cancer Treatment Using Model Based on Delphi Method, Fuzzy Logic, and Analytical Hierarchy Process (DFAHP).

Colorectal cancer is one of the major fatal diseases in Taiwan, and the age of patients is decreasing yearly. As the early symptoms of malignant intestinal swelling are not obvious, most patients are not diagnosed with colorectal cancer until they are in a serious condition, and early diagnosis of colorectal cancer is a major challenge. In addition to genetic factors, colorectal cancer is caused by stress and poor dietary habits. To improve the effectiveness of treatment, we propose a model for multi-attribute decision-making based on medical data by combining the Delphi method, fuzzy logic theory, and the analytical hierarchy process. In the hierarchical structure, key risk factors and their values are proposed using fuzzy logic theory. The model suggests the importance of the medical team, medical equipment, post-operative care, and other factors for treating colorectal cancer effectively. Treatment and appropriate care must be integrated in the overall medical process to improve the effectiveness of colorectal cancer treatment. [ABSTRACT FROM AUTHOR]