Prioritization of Factors of Breast Cancer Treatment Using Fuzzy AHP
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Breast cancer is a widespread disease that can both be seen at males or females. According to so many different factors such as age, sex, genetics, the shape and size of the tumor, environmental situations, and so on, that affects cancer type directly. With so many alternative cancer types and thus, treatment preference changes, it is vital to make the diagnosis as soon as possible to decide and start the treatment process. Diagnosis time is dependent on both technological equipment and also medical personnel. This study aims to support medical personnel, radiologists, doctors, surgeons, via proposing a multi-criteria decision model to find out which factor is more effective on the breast cancer type. Fuzzy Analytic Hierarchy process is used to prioritize factors of breast cancer treatment alternatives and results are compared to another study which already used Analytic Hierarchy Process but in certain conditions.
KeywordsBreast cancer Multi-criteria decision making Fuzzy Analytical hierarchy process Healthcare support systems
- Camgöz-Akdağ H, Alemdar Ç, Aydın E (2019) A MCDM model design for HER2+ breast cancer treatment technique using AHP method. PONTE J. 75(1/1):160–172Google Scholar
- URL-1 Kadcyla may help you live longer (n.d.). https://www.kadcyla.com/patient/about-kadcyla/benefits-risks.html. Accessed 15 Apr 2018
- URL-2 Lapatinib (Tyverb ®) (n.d.). https://www.macmillan.org.uk/cancerinformation/cancertreatment/treatmenttypes/biologicaltherapies/cancergrowthinhibitors/lapatinib.aspx. Accessed 14 Apr 2018
- Wanchai A, Armer JM, Stewart BR, Lasinski BB (2016) Breast cancer-related lymphedema: a literature review for clinical practice. Int J Nurs Sci 3(2):202–207Google Scholar