Evaluating Cancer Treatment Alternatives using Fuzzy PROMETHEE Method
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 10
Abstract
The aim of this study is to apply the principle of multi-criteria decision making theories on various types of cancer treatment techniques. Cancer is an abnormal cell that divides in an uncontrolled manner, it is a growth (tumor) that starts when alterations in genes make one cell to grow and multiply rapidly. Eventually, these cells may metastasize to other tissues. The primary factors that influence the comprehensive treatment plan of cancer include, but not limited to genetic factors, patient general health condition, explicit characteristic of cancer, and even purpose of the treatment. Other factors which are also essential include treatment duration, cost of treatment, comfortability, side effects and percentage of survival rate. The latter factors play an important role in the course of treatment and are therefore needed in order to evaluate the several treatment procedures. The outcome of the decision-making theories on these treatment procedures will help the concerned parties such as the patients, oncologists, and the hospital management. The most common cancer treatment techniques were evaluated and compared based on certain criteria using Fuzzy PROMETHEE decision-making theory.
Authors and Affiliations
Dilber Uzun Ozsahin, Berna Uzun, Musa Sani Musa, Abdulkader Helwan, Chidi Nwekwo Wilsona, Fatih Veysel Nurçina, Niyazi Sentürka, Ilker Ozsahin
Keywords
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- EP ID EP262227
- DOI 10.14569/IJACSA.2017.081024
- Views 96
- Downloads 0
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