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An Improved Pattern Mining Technique for Analysis of Prognostication of Breast Carcinoma Disease
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 123 - Number 7 |
| Year of Publication: 2015 |
| Authors: Harshnika Bhasin, Zuber Farooqui |
10.5120/ijca2015905440
|
Harshnika Bhasin, Zuber Farooqui . An Improved Pattern Mining Technique for Analysis of Prognostication of Breast Carcinoma Disease. International Journal of Computer Applications. 123, 7 ( August 2015), 41-45. DOI=10.5120/ijca2015905440
Abstract
This paper presents a study of different techniques of information mining algorithms used for the aim of predicting carcinoma because it is understood to any or all that prediction of carcinoma survivability has been a difficult research problem for several researchers. Since the early dates of the related analysis, a lot of advancement has been recorded in many related fields. For an instance, a sincere thanks to existing biomedical technologies, higher instructive prognostic factors are being measured and recorded; because of low value computer components and software system technologies, high volume good quality information is being collected and keep automatically; and at last thanks to higher analytical strategies, those voluminous information is being processed effectively and with efficiency. Therefore, the most objective of this manuscript is to report on a research project where we have a tendency to take advantage of these available technological advancements to develop prediction models for carcinoma survivability.
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