Learn More
Lung cancer is the second most common cancer in both men and women in the world. The focus of this paper is to design a fuzzy rule based medical expert system for diagnosis of lung cancer. The proposed system consists of four modules: working memory, knowledge base, inference engine and user interface. The system takes the risk factors and symptoms of lung(More)
Early detection of cancer is the most promising way to enhance a patient's chance for survival. This paper presents a computer-aided classification method using computed tomography (CT) images of the lung based on ensemble of three classifiers including MLP, KNN and SVM. In this study, the entire lung is first segmented from the CT images and specific(More)
In this paper, one of the novel issues of the world regarding the location of ambulance stations within a given area to cover the maximum amount of demand is studied. In this study, the classic version of location problem is improved using the double coverage models so that two radii are considered for covering. Furthermore, the developed study contains the(More)
Planning and scheduling of the operating rooms play an undeniable role in providing appropriate services in hospitals. In this paper, a mixed-integer programming model for scheduling the operating rooms is presented in which elective patients are investigated. This model seeks to minimize the total weighted start times. Considering such as issue, three age(More)
  • 1