cancer data set

cancer data set

A cluster of objective measurements and histopathological data that should be collected on every cancer diagnosed in the UK except for routine basal cell carcinomas. The cancer data set initiative is part of the National Cancer Plan (Department of Health, 2000), presenting the central government's strategy for investment and reform across the NHS, giving cancer services highest priority.

Cancer data set goals:
• Achieve consistent terminology and content in histopathology reports to facilitate liaison in multidisciplinary teams (MDTs) and collaboration between cancer units and centres.
• Help patient management by providing the histopathological data needed for informed clinical decision-making by the MDT.
• Provide accurate prognostic information for the patient and clinician.
• Create a common database for clinical audit and effectiveness and provide feedback to clinicians with regard to treatment quality.
• Provide accurate data for cancer registration.
References in periodicals archive ?
Mehdi Naseriparsa investigated how lung cancer data set to eliminate irrelevant features based on two minority sets of classes (CLASS A- CLASS C).
International jouranal of computer applications (0975-8887) 77-(3) 2013 combination of PCA with SMOTE resampling to Boost the prediction Rate in Lung Cancer Data set.
The data used in this experiment is the well-known Wisconsin Breast Cancer data set [10].
This method can be applied to any type of cancer data set with some initial labels to obtain high accuracy result in the classification of unlabeled samples.
Each founding organization has committed to include the required elements in its locally developed protocols, to facilitate comparison of cancer cases on a worldwide basis, and to reduce the burden of cancer data set development and maintenance.
On Brain cancer data set, 37 gene subsets were obtained.
ISI will follow these releases with additional data sets in other therapeutic areas, including the release of a breast cancer data set this year.
Research work applying mining techniques to the Wisconsin Breast Cancer Data set have been done by Megha Rathi and Chetna Gupta, Ronak Sumbaly, N.
With a view to reducing the global burden of cancer data set development, the possibility of international collaboration in the development of cancer-reporting protocols was explored.
From the above table the classification accuracy of breast cancer data set is 98,4%.
Therefore, we can further conclude that OFWDT model performs better than all other methods on the cancer data set.
All these three approaches are experimentally assessed on five well-known cancer data sets (Leukemia, Colon, Prostate, Lung, and Lymphoma).