Application to breast cancer data
McDonald Log-Logistic Distribution with an Application to Breast Cancer Data
... We estimate the unknown parameters of each model by the maximum likelihood. There exists many maximization methods in R Packages like NR (Newton-Raphson), BFGS (Broyden-Fletcher- Goldfarb-Shanno), BHHH ...
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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 values are ...
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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 values are ...
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Conceptual data sampling for image segmentation- an application for breast cancer images
... pled database for Malignant class contains tuples t1,t2 and t3 and t4 is being removed. Whereas for benign class all the tuples are required to generate a sample. Hence, we are not loosing too much information. This ...
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Breast Cancer Registry of Greater Cincinnati (BCRGC) APPLICATION for ACCESS to INFORMATION/DATA
... Please answer questions 2, 3, 4, 5, 8, 9, 10 and 11 ____ Statistical analyses of Registry data? Please answer questions 2,, 6, 7, 8, 9, 10 and 11 2. Describe the specific research questions and/or hypotheses for ...
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An Application of Classification Techniques on Breast Cancer Prognosis
... Naive Bayes: Naive-Bayes Classification Algorithm represents a supervised learning method as well as a statistical method for classification. Assumes an underlying probabilistic model and it allows us to capture ...
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Exploring cancer register data to find risk factors for recurrence of breast cancer – application of Canonical Correlation Analysis
... In this study, we have presented the CCA method for exploring registered data using a proposed model for pre- dictors and multiple outcome variables. CCA can analyse different models including combination of ...
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Temporal representation of care trajectories of cancer patients using data from a regional information system: an application in breast cancer
... using data min- ing methods is a dynamic research ...of data mining aim to discover details in clinical trajectories or clinical pathways, the number of patterns discovered need to be restricted to the main ...
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Application of Classification Techniques on Various Attributes of Breast Cancer
... situation, Data Mining is turning out to be prevalent in healthcare because there is a necessity for effective well- structured methodology for discovering unknown and crucial information in healthcare ...The ...
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Theranostic application of miR-429 in HER2+ breast cancer
... As miR-429 role in HER2+ BC is unknown and as it is the only miRNA upregulated in HER2+ BC, we analysed the effect of miR-429 silencing in HER2+ BC cell line. No correlation was observed between the different stages of ...
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Breast imaging technology Application of magnetic resonance imaging to early detection of breast cancer
... nism for collective analysis of data from across these studies. Some centers have reported interim results. A high-risk screening study including 1500 women has been initiated in the UK, funded through the Medical ...
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Enhancing Breast Cancer Prediction Using Unlabeled Data
... dangerous breast cancers in women, and identifi- cation of its aggressiveness during the early stages is the most crucial step in ...labeled data, especially medical data like annotation of IDC areas ...
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ANN and Adaboost application for automatic detection of microcalcifications in breast cancer
... of breast tissues that can mask the important features of MCs, ...of breast cancer has been developed to assist physicians for breast cancer ...same data- base and show ...
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Application of fluorescein sodium in breast cancer brain-metastasis surgery
... of FL-guided resection of BCBM over standard resection techniques. Conclusion Our preliminary data revealed the potential benefit of FL- guided resection of BCBM over standard resection tech- niques. An ...
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Differential co expression based detection of conditional relationships in transcriptional data: comparative analysis and application to breast cancer
... differences in performance. It is also evident that if we use a direct or influence network as the true network, the usefulness of all methods is largely underestimated. In other words, while no method reconstructed the ...
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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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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 the ...
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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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Classification of Breast Cancer Using Data Mining
... that breast cancer is the most propagated disease among women and it may end with ...From data science perspectives, data mining technology is used to uncover the disease according to some ...
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