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Evaluation and Simulation of Colon Cancer Treatment Techniques with Fuzzy PROMETHEE
Ozsahin, DIlber Uzun1,2,3; Nyakuwanikwa, Kudakwashe1; Wallace, Tapiwa1; Ozsahin, Ilker1,4
2019-05-14
Conference Name2019 Advances in Science and Engineering Technology International Conferences, ASET 2019
Source Publication2019 Advances in Science and Engineering Technology International Conferences, ASET 2019
Conference Date2019/03/26-2019/04/10
Conference PlaceDubai, United Arab Emirates
Abstract

Colon cancer is a malignant tumor that manifests in the inner wall of the colons, which is the lengthiest portion of the large intestines. Most common colonal cancers are adenocarcinomas which are tumors that start in cells that manufacture and give out mucus including other various fluids. Common instances of colon cancer start as small and benign (noncancerous) clusters of cells named adenomatous polyps. Overtime the clusters may develop into large tumors. Colon cancer can be named rectal cancer depending on where it started, and together to be named colorectal cancer since they have features in common. A broad term that encompasses all is bowel cancer. Almost all types of cancers found in the colon are adenocarcinomas however there are some unusual types of cancers which are primary colorectal lymphomas, gastrointestinal stromal tumors, leiomyosarcomas, carcinoid tumors and melanomas. Colorectal cancer is the third most common cancer found in men and second in females after breast cancer worldwide. Treatment/ prognosis (chance of recovery) is dependent upon the patient's general health, whether the cancer has recurred, whether there are cancer cells left after surgery and the stage of the cancer. The aim of this study is to comparatively analyze some colon cancer treatment techniques which include radiation therapy, chemotherapy, surgery, immunotherapy and hormone therapy. Fuzzy PROMETHEE method was implemented to analyze the treatments on various factors which include costs of treatment thus encompassing machinery costs, survival rates and side effects. According to the results surgery is the best option for the treatment of colon cancer. This study can be customized according to the patient's condition to obtain more specific evaluation results.

KeywordColon Cancer Treatments Fuzzy Logic Promethee
DOI10.1109/ICASET.2019.8714509
URLView the original
Language英語English
Scopus ID2-s2.0-85067081392
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Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Affiliation1.Department of Biomedical Engineering, Near East University, Nicosia, North Cyprus, Cyprus
2.Research Center of Experimental Health Sciences, Nicosia, North Cyprus, Cyprus
3.Gordon Center for Medical Imaging, Massachusetts General Hospital, Harvard Medical School Boston, United States
4.Biomedical Imaging Laboratory, Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macao
Recommended Citation
GB/T 7714
Ozsahin, DIlber Uzun,Nyakuwanikwa, Kudakwashe,Wallace, Tapiwa,et al. Evaluation and Simulation of Colon Cancer Treatment Techniques with Fuzzy PROMETHEE[C], 2019.
APA Ozsahin, DIlber Uzun., Nyakuwanikwa, Kudakwashe., Wallace, Tapiwa., & Ozsahin, Ilker (2019). Evaluation and Simulation of Colon Cancer Treatment Techniques with Fuzzy PROMETHEE. 2019 Advances in Science and Engineering Technology International Conferences, ASET 2019.
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