کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6855645 660831 2016 36 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Early diagnosis of gastrointestinal cancer by using case-based and rule-based reasoning
ترجمه فارسی عنوان
تشخیص زودرس سرطان دستگاه گوارش با استفاده از استدلال مبتنی بر قانون و مبتنی بر قاعده
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
In this paper, we present a medical diagnosis decision support model for gastrointestinal cancer. It should be used by general practitioners whenever there is a suspicion that a patient has this type of cancer. To build our model, we used Case-Based Reasoning (CBR) and Rule-Based Reasoning (RBR). We used real patient data as inputs to our model. We applied RBR to improve the CBR retrieve process. The model's output presents the probability of the patient having a specific cancer. In order to adjust the attributes weights, we collected data from a general practitioner. To validate our model, we used K-fold cross validation and the paired t-test. The results showed that, with our approach, the accuracy of the diagnosis increased by 22.92% when compared to a CBR approach not using RBR in case retrieval. Furthermore, we evaluated our approach with an online questionnaire and semi-structured interviews. Even though, given the number of respondents, we cannot generalize our conclusions, the results indicate that our approach would be useful for general practitioners.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 61, 1 November 2016, Pages 192-202
نویسندگان
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