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Source publication
Chemical threats in open war fields or terrorist attacks are a serious possibility. Chemical leakage, mass destruction weapons and terrorism attacks are some sources of exposure to chemical agents. If a treatment procedure is implemented soon enough to patients exposed to chemical agents, the number of victims will certainly be reduced. Therefore,...
Context in source publication
Context 1
... system [9] performs reasoning using a set of rules derived from knowledge and experience with a well defined and specific domain. A rule-based expert system will be useful if reasoning can be explained and the knowledge bases can be easily modified as new rules become available. The basic architecture of a rule-based expert system is shown in Fig. 1. Expert systems have a number of attractive features [ 10]. Some of these features are listed below: Availability. Because of the nature of the problem, there could be a large number of patients that need a treatment at the same time which means the need of large number of experts that are available around contaminated region. CTDES is ...
Citations
... Another study had extracted rules from the decision tree by designing an expert system that was used to diagnose neurological diseases (10). Other studies had extracted rules by a two step decision tree of training and testing (11)(12)(13)(14)(15)(16) or had used the decision tree to extract the rules that were used to design neural networks and estimate the risk of preeclampsia with an accuracy of 83.6% in the training phase and 93.8% in the testing phase (17). The methods used in these studies are in line with the methodology used in the current study. ...
... By using forward chaining inference techniques, the selected rules were burned to reach a final diagnosis (26). CLIPS programming environment was also used (3,(10)(11)(12)27) which is consistent with the current study. ...
Introduction
Intelligent Diagnostic Assistant can be used for complicated diagnosis of skin diseases, which are among the most common causes of disability. The aim of this study was to design and implement a computerized intelligent diagnostic assistant for complicated skin diseases through C5’s Algorithm.
Method
An applied-developmental study was done in 2015. Knowledge base was developed based on interviews with dermatologists through questionnaires and checklists. Knowledge representation was obtained from the train data in the database using Excel Microsoft Office. Clementine Software and C5’s Algorithms were applied to draw the decision tree. Analysis of test accuracy was performed based on rules extracted using inference chains. The rules extracted from the decision tree were entered into the CLIPS programming environment and the intelligent diagnostic assistant was designed then.
Results
The rules were defined using forward chaining inference technique and were entered into Clips programming environment as RULE. The accuracy and error rates obtained in the training phase from the decision tree were 99.56% and 0.44%, respectively. The accuracy of the decision tree was 98% and the error was 2% in the test phase.
Conclusion
Intelligent diagnostic assistant can be used as a reliable system with high accuracy, sensitivity, specificity, and agreement.
