선택한 단어 수는 입니다.
최소 단어 이상 선택하여야 합니다.
최소 단어 이상 선택하여야 합니다.
선택한 단어 수는 30입니다.
최대 10 단어까지만 선택 가능합니다.
최대 10 단어까지만 선택 가능합니다.
제안 방법
- The number and cause of the disease becomes important to increase evidence-based medical doctors. As the evidence-based medical, the data obtained from patients in the past through the disease by calculating the probability for future patients to diagnose and predict disease and treatment plan. It can be found by improving the survival rate plays an important role.
- In this paper, we disclose the data as evidence for breast-cancer database against each property using the calculated probability of cancer found. Thus, each cancer cell properties that affect the ranking of the most influential property priced Marginal Adhesion were found in the result.
- Breast cancer dataset using the data obtained from the Wisconsin hospitals has 699 properties with 11 pieces of data are included. In this paper, we take the probability of breast cancer bayesian theory to calculate the characteristic values of the variables that can not be obtained except two variables Matlab variable by using a tool for the prediction of breast cancer test results were obtained.
- In addition, early detection of medical technology during recent hospitalization or general anesthesia, with the development of breast tumors even without treatment unscathed is possible. Therefore, we use information from the experimental results to calculate the prior probability of breast cancer for each property values to obtain the bayesian posterior probability theory to predict the outcome of the diagnosis can help in early detection. In this paper, female cancer incidence data for breast cancer using publicly influential properties in breast cancer can be found.
대상 데이터
- UCI repository for experimental data provided by the breast cancer Wisconsin data were used for the public. Breast cancer dataset using the data obtained from the Wisconsin hospitals has 699 properties with 11 pieces of data are included. In this paper, we take the probability of breast cancer bayesian theory to calculate the characteristic values of the variables that can not be obtained except two variables Matlab variable by using a tool for the prediction of breast cancer test results were obtained.
- Diseased cells, if the class attribute value of 2, class 4, if the cancer is. The data used for the experiment with data from a total of 699 patients, 458 of 699 people tested and breast cancer, 65.5% master cells, have the disease and the remaining 241 patients have cancer. Patients with disease of the cells belonging to class2, class4 belong to patients with cancer, the distribution of each class are listed below.
이론/모형
- In addition, breast cancer dataset is used in the experiment for the NBN result tree. It is generated as Fig 7.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.