breast cancer data set
Survival Analysis for a Breast Cancer Data Set
... a data set of 295 early breast cancer patients is per- formed in this ...for breast cancer patients respectively by using standard variable selection ...the data be- sides ...
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A Research on Breast Cancer Prediction using Data Mining Techniques
... of breast cancer plays a significant role in the welfare of ...to breast cancer is on an all-time ...breast cancer. In order to detect and diagnose such types of cancer, ...
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Classification of Breast Cancer Using Data Mining
... a set of positive and negative values, the classification process is taken place with percentage of error, hence some positive values are classified as positive without error and others are classified with ...
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Application of Data Mining Techniques to Model Breast Cancer Data
... classify breast cancer Wisconsin data set with high accuracy and efficiency, supervised learning algorithms ...used. Data pre-processing is performed using SPSS tool and the missing ...
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Application of Data Mining Techniques to Model Breast Cancer Data
... classify breast cancer Wisconsin data set with high accuracy and efficiency, supervised learning algorithms ...used. Data pre-processing is performed using SPSS tool and the missing ...
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A large, consistent plasma proteomics data set from prospectively collected breast cancer patient and healthy volunteer samples
... employed data dependent LC-MS/MS approach, presents several ...of data in the mass spectrometer since the duty cycle of the instrument is not occupied with collecting the second MS information during pro- ...
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A large, consistent plasma proteomics data set from prospectively collected breast cancer patient and healthy volunteer samples
... employed data dependent LC-MS/MS approach, presents several ...of data in the mass spectrometer since the duty cycle of the instrument is not occupied with collecting the second MS information during pro- ...
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ENSEMBLE DECISION TREE CLASSIFIER FOR BREAST CANCER DATA
... original data set using methods such as complete, heuristic and random and then evaluate the generated candidate feature subset using different evaluation functions such as distance, information, ...
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Enhancing Breast Cancer Prediction Using Unlabeled Data
... labeled data that is difficult to obtain, especially in the medical field as neither the hospitals nor the patients are willing to reveal such sensitive ...all breast cancers accounting nearly 80% [DSBJ11] ...
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An Intelligent Classifier for Breast Cancer Diagnosis based on K Means Clustering and Rough Set
... noisy data from the problem domain. Rough set theory is often applied to feature reduction using the data alone, requiring no additional information and widely used for classification tool in ...
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Breast cancer prognosis by combinatorial analysis of gene expression data
... A specific feature of datasets coming from genomics is the presence of a very large number of measurements concerning gene expressions but only a relatively small number of obser- vations. For instance, the attributes in ...
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A comparison of three different methods for classification of breast cancer data
... a set of sensory units that constitute the input layer, one or more hidden layers of computation nodes, and an output layer of computation ...a set of outputs is produced as the actual response of the ...
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Clustering breast cancer data by consensus of different validity indices
... dividing data elements into classes (clusters) so that items in the same class are as similar as ...given data set, a number of cluster validity indices have been proposed which attempt to measure ...
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Feasibility study on data mining techniques in diagnosis of breast cancer
... of data analytics in healthcare to predict and diagnose the breast cancer are gaining immense ...available breast cancer datasets with regard to different data mining techniques ...
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Data Mining Analysis (breast-cancer data)
... 3. Classification – Compare with other paper results Above machine learning tools will use in this section to diagnose cancer Wisconsin dataset. To be consistent with the literature [1, 2] we removed the 16 ...
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A Review on Breast Cancer Data Repository
... of cancer is a key component of any overall cancer control ...cure cancer patients or prolong their life considerably, ensuring a good quality of ...the cancer risk factors and the need for ...
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Inference on Competing Risks in Breast Cancer Data
... risks data, parametric methods for such data have not been developed as ...competing data more ...such data taking into account the cor- relation between failure time ...risks data. In ...
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Avastin in breast cancer: Summary of clinical data
... their cancer getting worse, compared to chemotherapy alone. Further data from the RIBBON-1 trial presented at the American Society of Clinical Oncology (ASCO) 2009 Annual Meeting demonstrated that RIBBON-1 ...
5
Avastin in breast cancer: Summary of clinical data
... MO19391 data confirmed that Avastin based therapy was well tolerated by patients and Avastin related side effects are consistent with those reported in previous ...Further data from the MO19391 trial will ...
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Breast Cancer. What is breast cancer?
... through cancer can benefit from some type of ...friends, cancer support groups, religious or spiritual groups, online support communities, or one-on-one ...
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