Breast cancer data analytics with missing values: a study on ethnic, age and income groups

Tirunagari, Santosh, Poh, Norman, Abdulrahman, Hajara, Nemmour, Nawal and Windridge, David (2015) Breast cancer data analytics with missing values: a study on ethnic, age and income groups. ArXiv e-prints: Quantitative Biology > Quantitative Methods .

Full text is not in this repository.

Abstract

An analysis of breast cancer incidences in women and the relationship between ethnicity and survival rate has been an ongoing study with recorded incidences of missing values in the secondary data. In this paper, we study and report the results of breast cancer survival rate by ethnicity, age and income groups from the dataset collected for 53593 patients in South East England between the years 1998 and 2003. In addition to this, we also predict the missing values for the ethnic groups in the dataset. The principle findings in our study suggest that: 1) women of white ethnicity in South East England have a highest percentage of survival rate when compared to the black ethnicity, 2) High income groups have higher survival rates to that of lower income groups and 3) Age groups between 80-95 have lower percentage of survival rate.

Item Type: Article
Keywords (uncontrolled): Quantitative Biology - Quantitative Methods
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 18213
Depositing User: David Windridge
Date Deposited: 15 Oct 2015 17:04
Last Modified: 13 Oct 2016 14:37
URI: https://eprints.mdx.ac.uk/id/eprint/18213

Actions (login required)

Edit Item Edit Item