[PDF] Top 20 An Application of Classification Techniques on Breast Cancer Prognosis

... Kopans[7] has suggested that sonography should always be used with mammography or other imaging techniques for providing better result Ultrasound: Ultrasound is an adjunctive tool used i[r] ... See full document

... ABSTRACT: Data mining is extracting useful information from enormous data by analysing it to make decisions that are used to improve the growth of an organization. This is known as the knowledge discovery in databases ... See full document

... Classification is one of the data mining Technique. It is used to group the instances which belong to same class. It is a supervised learning, in which predefined training data is available. Most popular data ... See full document

... for cancer prognosis ...for breast cancer prediction such as TNM (Tumor, Node and Metastasis) staging system and logistic regression ...of cancer prediction and prognosis ...of ... See full document

... In this research various supervised learning algorithms are compared to predict the best classifier. Experimental results shows the effectiveness of the proposed method. Model is also evaluated using precision and ... See full document

... There application in healthcare has spanned from the electrocardiograms to ultrasounds ...solving classification problems. Breast cancer has been identified as the second largest cause of ... See full document

... in classification of different subtypes of cancer in general and breast cancer in particular is inherently limited, as it is evident that genes do not act on their own and that gene networks ... See full document

... for cancer patients by analyzing their genetic make-up is a difficult and very important ...of breast cancer, we used data mining techniques to study the gene expression values of ... See full document

... of breast cancer improves the ability of patients to deal with the disease and also increases the survival rate of the ...diagnosing breast cancer, but nowadays ultrasound and ultrasound ... See full document

... of breast cancer (Wisconsin Breast Cancer (WBC),Wisconsin Prognosis Breast Cancer (WPBC) and Wisconsin Diagnosis Breast Cancer (WDBC)) by using confusion ... See full document

... than cancer; second, we did not use HER-2 status in the model, which was not available until 2010, so the conclusion might be ...The application of the 21-gene breast recurrence score (RS) may shed ... See full document

... the prognosis and diagnosis of breast cancer using Wisconsin ...for breast cancer analysis. Wisconsin breast cancer dataset is used by authors to evaluate the ...the ... See full document

... the prognosis of breast cancer The measurement of oestrogen receptor (ER) concentrations in breast cancer tissue is an established method of predicting the response of a tumour to ... See full document

... poor prognosis of invasive breast carci- noma ...patient prognosis both in the single-factor COX regression and multi-factor COX regression analysis, which included T stage, N stage, tu- mor clinical ... See full document

... invasive breast cancer tissue microarray specimens using quantum dot (QD)-based ...Therefore, breast cancer patients could be divided into five subtypes according to HER2 and hormone receptor ... See full document

... concerning breast cancer relates to the lack of patients awareness about the ...implementing breast self-examination and mammography screening programs are the other important ...to breast ... See full document

... [Maia and Hongpeng, 2010] to improve the performance of image segmentation investigated a new image segmentation techniques based on Grey Graph Cut which integrates grey theory and graph cut theory methods. In ... See full document

... Next, we investigated the role of miR-133a-3p in mediat- ing breast cancer cell metastasis in the mouse model by targeting MAML1. We first generated four types of modi- fied MDA-MB-231 cell lines: cells ... See full document

... the prognosis of young breast cancer patients with the older ...female breast cancer patients diagnosed during 2003–2014, including 6,668 patients younger than 35 years and 143,920 ... See full document

... human cancer cells compared to normal human cells in ...stimulate cancer cell g r o w t h a n d that only n = 3 inhibit tumour cell growth in vitro^"^^’ LA (n = 6) stimulated proliferation of human ... See full document