VISUALIZATION OF RISK IN BREAST CANCER USING FUZZY LOGIC IN MATLAB ENVIRONMENT
VISUALIZATION OF RISK IN BREAST CANCER USING FUZZY LOGIC IN MATLAB ENVIRONMENT
复制标题
在 MATLAB 环境中使用模糊逻辑可视化乳腺癌风险
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
S. Balasubramanian
中科院分区：
文献类型：
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作者：
B. Madhu;S. Ayesha;R. Ramya;R. Sridhar;S. Balasubramanian
乳腺癌是全球性的疾病负担，医院记录的乳腺癌数据可以用来开发一个模糊决策支持系统，以帮助乳腺癌的危险分层，这有助于作为一个决策支持系统。该系统使用年龄和癌症状态作为输入变量，一个输出变量作为风险状态，风险状态进一步分为不严重、严重和非常严重。这个节俭的系统有助于评估乳腺癌风险。尽管有最新的技术发展，用于量化的方法和标准是可靠的风险估计，仍然是主观的。本研究引入了一组模糊规则，可用于处理乳腺癌病例的相关数据，以评估乳腺癌的风险预后，这是定性的。
Breast cancer is the global burden, the recorded breast cancer data from hospitals can be used to develop a fuzzy decision support system to help in risk stratification of breast cancer, which helps as a decision supporting system. This system uses age and cancer state as a input variable and one output variable as risk status which is further divided into Not serious, Serious and Very serious. This parsimonious system helps in the assessment of the breast cancer risk. Despite the latest technological developments, the method and criteria used to quantify are reliable risk estimate and still subjective. The present study introduces a set of fuzzy rules that can be used to process the relevant data from breast cancer cases in order to assess breast cancer risk prognosis which is qualitative.