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Medical Journal of Islamic Republic of Iran، جلد ۳۵، شماره ۱، صفحات ۳۴۱-۳۴۸
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عنوان انگلیسی Developing a clinical decision support system based on the fuzzy logic and decision tree to predict colorectal cancer
چکیده انگلیسی مقاله Background: Colorectal Cancer (CRC) is the most prevalent digestive system- related cancer and has become one of the deadliest diseases worldwide. Given the poor prognosis of CRC, it is of great importance to make a more accurate prediction of this disease. Early CRC detection using computational technologies can significantly improve the overall survival possibility of patients. Hence this study was aimed to develop a fuzzy logic-based clinical decision support system (FL-based CDSS) for the detection of CRC patients.    Methods: This study was conducted in 2020 using the data related to CRC and non-CRC patients, which included the 1162 cases in the Masoud internal clinic, Tehran, Iran. The chi-square method was used to determine the most important risk factors in predicting CRC. Furthermore, the C4.5 decision tree was used to extract the rules. Finally, the FL-based CDSS was designed in a MATLAB environment and its performance was evaluated by a confusion matrix.    Results: Eleven features were selected as the most important factors. After fuzzification of the qualitative variables and evaluation of the decision support system (DSS) using the confusion matrix, the accuracy, specificity, and sensitivity of the system was yielded 0.96, 0.97, and 0.96, respectively.    Conclusion: We concluded that developing the CDSS in this field can provide an earlier diagnosis of CRC, leading to a timely treatment, which could decrease the CRC mortality rate in the community.  
کلیدواژه‌های انگلیسی مقاله Colorectal cancer, CRC, Fuzzy logic, Artificial intelligence, Risk analysis, Screening
نویسندگان مقاله | Raoof Nopour
Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran


| Mostafa Shanbehzadeh
Department of Health Information Technology, School of Paramedical, Ilam University of Medical Sciences, Ilam, Iran


| Hadi Kazemi-Arpanahi
Department of Health Information Technology, & Student Research Committee, Abadan Faculty of Medical Sciences, Abadan, Iran
نشانی اینترنتی http://mjiri.iums.ac.ir/browse.php?a_code=A-10-6055-2&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Gastroenterology
نوع مقاله منتشر شده Original Research
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