Abstract
According to the American Cancer Society, 231,840 new cases were diagnosed with invasive breast cancer and approximately 40,290 women died in the United States in 2015. The selection of an effective treatment plan for breast cancer highly depends on critical factors such as the stage of the cancer (e.g., non-metastasis, metastasis), risk factors related to breast cancer, patient-related risks, menopausal status, and the comorbidity condition of the patient. In this paper, we determine the criteria for oncologists and patients to select the best breast cancer therapy plan. We review and analyze the literature in order to develop the evaluation model. We also discuss the analytical hierarchy process (AHP) method for determining the most effective breast cancer treatment strategy.
Original language | English (US) |
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Pages | 1897-1902 |
Number of pages | 6 |
State | Published - 2020 |
Externally published | Yes |
Event | 2016 Industrial and Systems Engineering Research Conference, ISERC 2016 - Anaheim, United States Duration: May 21 2016 → May 24 2016 |
Conference
Conference | 2016 Industrial and Systems Engineering Research Conference, ISERC 2016 |
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Country/Territory | United States |
City | Anaheim |
Period | 5/21/16 → 5/24/16 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
Keywords
- Analytical Hierarchy Process
- Breast Cancer
- Multi-Criteria Decision Making
- Risk Factors
- Treatment Strategies