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

Pre-print

Tirunagari, S., Poh, N., Abdulrahman, H., Nemmour, N. and Windridge, D. 2015. Breast cancer data analytics with missing values: a study on ethnic, age and income groups. ArXiv e-prints: Quantitative Biology > Quantitative Methods. https://doi.org/10.48550/arXiv.1503.03680
TypePre-print
TitleBreast cancer data analytics with missing values: a study on ethnic, age and income groups
AuthorsTirunagari, S., Poh, N., Abdulrahman, H., Nemmour, N. and Windridge, D.
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.

KeywordsQuantitative Biology - Quantitative Methods
Preprint server/collectionarXiv
Publication dates
Online12 Mar 2015
Publication process dates
Deposited15 Oct 2015
Accepted01 Mar 2014
Output statusPublished
Web address (URL)http://arxiv.org/abs/1503.03680
Digital Object Identifier (DOI)https://doi.org/10.48550/arXiv.1503.03680
Web of Science identifierPPRN:19216120
LanguageEnglish
JournalArXiv e-prints: Quantitative Biology > Quantitative Methods
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