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Exploratory Data Analysis on Breast Cancer Prognosis
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Author(s): Mohammad Mehdi Owrang O. (American University, USA), Yasmine M. Kanaan (Howard University, USA), Robert L. Copeland Jr. (Howard University,USA), Melvin Gaskins (Howard University Hospital, USA)and Robert L. DeWitty Jr. (Providence Hospital, USA)
Copyright: 2019
Pages: 14
Source title:
Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7598-6.ch027
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Abstract
Breast cancer prognosis is a vital element of providing effective treatment for breast cancer patients. Breast cancer prediction survivability has mainly been studied based on pathological factors such as tumor size, tumor grade, number of positive lymph nodes, and hormone receptors among others. This chapter looks at the significance of the non-clinical prognostic factors of age, ethnicity, and marital status in finding the prognosis for breast cancer patients. The National Cancer Institute's SEER data and the Howard University Cancer Center Tumor Registry data are analyzed. Prognostic tool NPI (Nottingham Prognostic Index) and survival analysis tools of Cox proportional hazards and Kaplan-Meier survival curve are used in analyzing the experiments. The results suggest that age, ethnicity, and marital status have some influence on the survivability rate of breast cancer patients.
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